802 Delaware Avenue (18052), United States of America, Wilmington, Delaware Data Engineer - Senior Associate Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, youll have the opportunity to be on the forefront of driving a major transformation within Capital One. What Youll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelors Degree At least 2 years of experience in application development (Internship experience does not apply) At least 1 year of experience in big data technologies Preferred Qualifications: 3 years of experience in application development including Python, SQL, Scala, or Java 1 years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 2 years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 1 years experience working on real-time data and streaming applications 1 years of experience with NoSQL implementation (Mongo, Cassandra) 1 years of data warehousing experience (Redshift or Snowflake) 2 years of experience with UNIX/Linux including basic commands and shell scripting 1 years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization for this position. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York Citys Fair Chance Act; Philadelphias Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodationcapitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careerscapitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Center 1 (19052), United States of America, McLean, Virginia Senior Data Engineer, Card Tech Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, youll have the opportunity to be on the forefront of driving a major transformation within Capital One. What Youll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelors Degree At least 3 years of experience in application development (Internship experience does not apply) At least 1 year of experience in big data technologies Preferred Qualifications: 5 years of experience in application development including Python, SQL, Scala, or Java 2 years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 3 years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 2 year experience working on real-time data and streaming applications 2 years of experience with NoSQL implementation (Mongo, Cassandra) 2 years of data warehousing experience (Redshift or Snowflake) 3 years of experience with UNIX/Linux including basic commands and shell scripting 2 years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Data Engineer Illinois (Hybrid On-Site): $153,900 - $175,700 for Senior Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidates offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York Citys Fair Chance Act; Philadelphias Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodationcapitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careerscapitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Center 2 (19050), United States of America, McLean, Virginia Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Data Engineer, youll have the opportunity to be on the forefront of driving a major transformation within Capital One. What Youll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelors Degree At least 4 years of experience in application development (Internship experience does not apply) At least 2 years of experience in big data technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: 7 years of experience in application development including Python, SQL, Scala, or Java 4 years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4 years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4 year experience working on real-time data and streaming applications 4 years of experience with NoSQL implementation (Mongo, Cassandra) 4 years of data warehousing experience (Redshift or Snowflake) 4 years of experience with UNIX/Linux including basic commands and shell scripting 2 years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidates offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York Citys Fair Chance Act; Philadelphias Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodationcapitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careerscapitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

130 5th Ave (22130), United States of America, New York, New YorkSenior Lead Data EngineerDo you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Senior Lead Data Engineer, youll have the opportunity to be on the forefront of driving a major transformation within Capital One. What Youll Do: Collaborate with and across Agile teams to design, develop, iterate, test, implement, and support technical solutions in full-stack development tools and technologies Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelors Degree At least 6 years of experience in application development (Internship experience does not apply) At least 2 years of experience in big data technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: Master's Degree 9+ years of experience in application development including Python, SQL, Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4+ year experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation (Mongo, Cassandra) 4+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Lead Data EngineerCandidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidates offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York Citys Fair Chance Act; Philadelphias Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Key Responsibilities: Design, build, and manage Azure Data Factory pipelines for data ingestion. Handle both batch and near real-time data ingestion using Azure Service Bus. Integrate structured, semi-structured, and unstructured data sources. Utilize formats such as Parquet, Avro, JSON, etc., and manage loading into the Bronze layer. Build and manage data engineering pipelines using Databricks (PySpark, SparkSQL). Implement Spark-based data transformation jobs from Bronze to Silver and Gold layers. Establish and manage Data Quality Framework using Databricks and Data Factory. Set up data security using RBAC and ACLs to manage permissions on sensitive datasets. Implement automation frameworks for pipeline execution using Databricks Workflows. Monitor pipelines using Azure Monitor, set up alerts and ensure SLAs are met. Optimize storage in ADLS Gen2 and use Azure Key Vault to secure credentials. Optimize costs using Azure Cost Management. Technical Skills: Azure Data Factory for ETL/ELT operations. Databricks (PySpark, SparkSQL) for data transformations. Azure Data Lake Storage (ADLS Gen2). SQL Server, PostgreSQL, Cosmos DB, CRM, and ERP systems. Data Governance, RBAC, and ACLs for managing permissions. CI/CD tools: Azure DevOps, GitHub Actions, Terraform. Azure Monitoring, Alerting, and Logging tools. Public Partnerships is an Equal Opportunity Employer dedicated to celebrating diversity and intentionally creating a culture of inclusion. We believe that we work best when our employees feel empowered and accepted, and that starts by honoring each of our unique life experiences. At PPL, all aspects of employment regarding recruitment, hiring, training, promotion, compensation, benefits, transfers, layoffs, return from layoff, company-sponsored training, education, and social and recreational programs are based on merit, business needs, job requirements, and individual qualifications. We do not discriminate on the basis of race, color, religion or belief, national, social, or ethnic origin, sex, gender identity and/or expression, age, physical, mental, or sensory disability, sexual orientation, marital, civil union, or domestic partnership status, past or present military service, citizenship status, family medical history or genetic information, family or parental status, or any other status protected under federal, state, or local law. PPL will not tolerate discrimination or harassment based on any of these characteristics. PPL does not discriminate based on race, color, religion, or belief, national, social, or ethnic origin, sex, gender identity and/or expression, age, physical, mental, or sensory disability, sexual orientation, marital, civil union, or domestic partnership status, protected veteran status, citizenship status, family medical history or genetic information, family or parental status, or any other status protected under federal, state, or local law.

Become a part of our caring community and help us put health first This role offers a fantastic opportunity to develop your skills in a dynamic environment and make significant contributions to our data-centric projects. Join our Provider Development IT team, an essential contributor supporting Humana's Interoperability strategy and performance management product capabilities. This role focuses on data operations and analytics to enhance our connectivity with providers. As a Junior Data Engineer, you will be involved in the design, development, and management of data solutions on modernized, cloud-based technology platforms approved by the enterprise. Job Responsibilities: Assist in the development and optimization of data architectures and pipelines. Participate in the extraction, transformation, and loading of data from a variety of data sources using SQL and cloud-based big data technologies. Support the implementation of data flow processes to enhance data accessibility and reliability across applications. Collaborate with team members to integrate data-driven analytics into our performance management products. Contribute to technical discussions and decision-making processes to ensure efficient data handling and security. Required Qualifications: Bachelors degree in computer science, IT, data science, or a related field. Exposure to data engineering tools and platforms such as Microsoft Azure, Databricks, or similar cloud-based environments. Experience with SQL and familiarity with programming languages such as Python or Scala. Understanding of data modeling, data warehousing, and building ETL pipelines. Eagerness to learn and contribute to an organization focused on continuously improving consumer experiences through data-driven insights. Use your skills to make an impact Why Humana? You'll experience the following perks as a full-time Humana employee: Humana offers a variety of benefits to promote the best health and well-being of our employees and their families. We design competitive and flexible packages to give our employees a sense of financial securityboth today and in the future, including: Health benefits effective day 1 Paid time off, holidays, volunteer time and jury duty pay Recognition pay 401(k) retirement savings plan with employer match Tuition assistance Scholarships for eligible dependents Parental and caregiver leave Employee charity matching program Network Resource Groups (NRGs) Career development opportunities Interview Format: As part of our hiring process for this opportunity, we will be using an interviewing technology called HireVue to enhance our hiring and decision-making ability. HireVue allows us to quickly connect and gain valuable information from you pertaining to your relevant skills and experience at a time that is best for your schedule. Work-At-Home Requirements To ensure Home or Hybrid Home/Office employees ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested Satellite, cellular and microwave connection can be used only if approved by leadership Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense. Humana will provide Home or Hybrid Home/Office employees with telephone equipment appropriate to meet the business requirements for their position/job. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information LI-Remote ? Social Security Task Humana values personal identity protection. Please be aware that applicants may be asked to provide their Social Security Number, if it is not already on file. When required, an email will be sent from Humanamyworkday.com with instructions on how to add the information into your official application on Humanas secure website. Scheduled Weekly Hours 40 Pay Range The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. $86,600 - $119,200 per year This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance. Description of Benefits Humana, Inc. and its affiliated subsidiaries (collectively, Humana) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities. About us Humana Inc. (NYSE: HUM) is committed to putting health first for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large. Equal Opportunity Employer It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or veteran status. It is also the policy of Humana to take affirmative action to employ and to advance in employment, all persons regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment. Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our https://www.humana.com/legal/accessibility-resources?sourceHumana_Website.

Job ID Number R4040 Employment Type Full time Worksite Flexibility Remote Job Summary We are looking for a motivated Data Engineer ready to take us to the next level If you have 5 or more years of experience with Google Cloud Platform services, Hadoop and Hive, and are looking for your next career move, apply now. Job Description We are looking for a Data Engineer to development, and implement new systems, and major enhancements to existing systems, as well as provide production support for systems with high complexity. This position will be Full-Time and Remote as a 6-month contract with the ability to renew. Candidates must reside in and be legally authorized to work in the U.S. to be eligible for this role. What Youll Do Develop and implement new data systems to support business objectives Design and execute major enhancements to existing systems to improve performance and functionality Provide production support for systems with high complexity, ensuring minimal downtime and quick resolution of issues Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs Optimize and maintain data pipelines to ensure efficient data processing and storage Ensure data quality and integrity through rigorous testing and validation processes Stay up to date with the latest industry trends and technologies to continually improve our data engineering practices What You'll Need Required: Bachelors degree in computer science, Data Analytics or a related field At least five years of experience performing data engineering tasks, containing but not limited to the following experiences Data engineering tools and technologies, such as Apache Spark, Hadoop, and Hive as well as their APIs such as PySpark Cloud computing platforms, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) Google Cloud Platform services (GCP), such as: Google Cloud Storage, Cloud Functions, Pub/Sub, Cloud Scheduler, Cloud Run, BigQuery, and Cloud SQL Experience with Google Cloud Platform APIs and SDKs Familiarity with cloud computing concepts, such as virtual machines, storage, and networking Familiarity with data modeling and database design Strong problem-solving and analytical skills Excellent communication and teamwork skills Preferred: Experience writing Python scripts for data engineering tasks Familiarity with Python libraries for data manipulation and analysis, such as NumPy, Pandas, and SciPy Experience with Hadoop and Hive Physical Demands Ability to safely and successfully perform the essential job functions consistent with the ADA and other federal, state, and local standards Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc. Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor Must be able to communicate with customers/team members over the phone and in person Reasonable Accommodation Statement If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodationscai.io or (888) 824 8111. Equal Employment Opportunity Policy Statement It is the policy of CAI not to discriminate against any employee or applicant due to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or being a protected veteran. It is also the policy of CAI to take affirmative action to employ and to advance in employment, all persons regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or being a protected veteran, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment. Employees and applicants of CAI will not be subject to harassment due to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or being a protected veteran. Additionally, retaliation, including intimidation, threats, or coercion, because an employee or applicant has objected to discrimination, engaged or may engage in filing a complaint, assisted in a review, investigation, or hearing or have otherwise sought to obtain their legal rights under any Federal, State, or local EEO law is prohibited.

Data Engineer Jobs in Camden-Wyoming, DE

Data Engineer Senior Associate
November 7, 2024

Senior Data Engineer Card Tech
November 7, 2024

Lead Data Engineer
November 7, 2024

Senior Lead Data Engineer
November 5, 2024

Data Engineer
November 5, 2024

Junior Data Engineer
November 5, 2024

Data Engineer
October 31, 2024

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Data Engineer Jobs in Camden-Wyoming, DE

Data Engineer Senior AssociateNovember 7, 2024

Senior Data Engineer Card TechNovember 7, 2024

Lead Data EngineerNovember 7, 2024

Senior Lead Data EngineerNovember 5, 2024

Data EngineerNovember 5, 2024

Junior Data EngineerNovember 5, 2024

Data EngineerOctober 31, 2024