DevOps / Data Engineer Anywhere Type: Contract Category: DevOps Industry: Retail Workplace Type: Remote Reference ID: JN -092024-90857 Date Posted: 11/14/2024 Shortcut: http://careers.eliassen.com/4vnMDK Description Recommended Jobs Description: 100% Remote role Our client is seeking a Senior DevOps Engineer / Data Engineer to lead the design, implementation, and management of their Azure infrastructure and deployment pipelines. They want you to leverage your extensive expertise in automation, containerization, and CI/CD to ensure scalability, reliability, and security for a highly complex, employee-facing data and analytics web application. Due to client requirement, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $80 - $90 / hr. w2 Experience Requirements: 5 years of experience in DevOps or related roles. Ability to get ground breaking team officially set up, up and running in Azure DevOps Proven track record in Agile software product development. 8 years in scripting languages like Bash, Python, or Ruby and deployments on Azure Hands-on experience with containerization and orchestration tools like Docker, Kubernetes, or ECS. Strong understanding of CI/CD pipelines and automation tools such as Jenkins, GitLab CI, or CircleCI. Knowledge of infrastructure as code tools like Terraform would be a plus Previous experience as a member of an Inaugural Dev Team or start-ups is a plus Bachelor's degree in Computer Science, Engineering, or related field; advanced degree preferred Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range. W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality. Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact InfoSeceliassen.com. About Eliassen Group: Eliassen Group is a leading strategic consulting company for human-powered solutions. For over 30 years, Eliassen has helped thousands of companies reach further and achieve more with their technology solutions, financial, risk & compliance, and advisory solutions, and clinical solutions. With offices from coast to coast and throughout Europe, Eliassen provides a local community presence, balanced with international reach. Eliassen Group strives to positively impact the lives of their employees, clients, consultants, and the communities in which they operate. Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Dont miss out on our referral program If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check

Company : Highmark Health Job Description : JOB SUMMARY We are on a mission to deliver remarkable health experiences, freeing people to be their best. This requires an advanced 360 person-centered approach to deliver the right message, guidance, care, outcome, and experiences, all at the right time. This Sr Engineering role on the team will help lead us towards the combined digital and data transformation, modernizing from core Master Data Management (MDM) platforms and processes towards more open and forward oriented platforms, patterns, and architectures. On an ongoing basis, you will collaborate and/or lead various technical engagements to scope, deliver, and support core operational systems focusing on delivering a Person-360 ecosystem. These patterns and platforms will serve as foundational to an enterprise 360 approach, improving individuals experiences and business outcomes. Working in a distributed team, you can influence and lead both technical and non-technical cross-functional team members, building trust and momentum with stakeholders, prioritizing outcomes over activity. You will be pragmatic in modernizing technology by pairing innovation and transformation with business requests and customer experiences. ESSENTIAL RESPONSIBILITIES In partnership with other business, platform, technology, and analytic teams across the enterprise, design, build and maintain well-engineered data solutions in a variety of environments, including traditional data warehouses, Big Data solutions, and cloud-oriented platforms. Create high performance cloud and big data systems to be used with operational and analytic applications. Work with internal and external platforms and systems to connect and align on data sourcing, flow, structure, and subject matter expertise. Work with business stakeholders and strategic partners to implement and support operational and analytic platforms. This may include products purchased by the organization that must be ingested or modeled/derived data maintained by enterprise platforms and data consumers. Working across multiple, disparate systems and platforms, design, code, test, implement, and maintain scalable and extensible frameworks that support data engineering services. Align with security, data governance and data quality programs by driving assigned components of metadata management, data quality management, and the application of business rules.Develop and maintain associated data engineering processes and participate in required operating procedures as part of the enterprises overall information management activities.Includes data cleansing, standardization, technical metadata documentation, and the de-identification and/or tokenization of data. Develop, optimize and/or maintain machine learning and AI engineering processes (MLOps) that are deployed to cloud or big data environments.These may be based on prototypes built by data scientists or capability frameworks implemented to allow data scientists to build efficiently in production environments. Develop tasks across multiple projects with limited need for guidance. This includes providing guidance and education to Intermediate and Junior contributors within team. Manage relationships with customers of the function. Attend meetings with customers on a stand-alone basis or with team as needed. Establish standards and patters for high performance data ingestion, transformation, and delivery of data analytic needs. Keep current with Big Data technologies in order to recommend best tools in order to perform current and future work Other duties as assigned or requested. EDUCATION Required Bachelor's Degree in Software Engineering, Information Systems, Computer Science, Data Science or related field Substitutions None Preferred Master's Degree in Software Engineering, Information Systems, Computer Science, Data Science or related field EXPERIENCE Required 5 years in Data platform development, data engineering, software development, or data science 3 years in Big data or cloud data platform Preferred 5 years in Healthcare Industry or Financial services/Banking or similar highly regulated industry 5 years of Data Warehousing experience 3 years of cloud data warehousing experiences with preference for GCP 3 years of experience with Databricks 3 years of experience with MDM systems with preference for Informatica Advanced knowledge of data movement and integration platforms with preference for Pub/Sub and Kafka Advanced knowledge of governance platforms and practices to include metadata catalog integration, AuthN/AuthZ Entitlements platforms and workflows, etc. LICENSES AND CERTIFICATIONS Required None Preferred Cloud certification (GCP, Azure, AWS) SKILLS SQL Data Warehousing Problem-Solving Communication Skills Analytical Skills Spark or Python or related tool Cloud Technologies ? Language (Other than English): None Travel Requirement: 0% - 25% PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS Position Type Office-based Teaches / trains others regularly Rarely Travel regularly from the office to various work sites or from site-to-site Does Not Apply Works primarily out-of-the office selling products/services (sales employees) Never Physical work site required No Lifting: up to 10 pounds Constantly Lifting: 10 to 25 pounds Occasionally Lifting: 25 to 50 pounds Rarely Disclaimer: The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job. Compliance Requirement : This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies. As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Companys Handbook of Privacy Policies and Practices and Information Security Policy. Furthermore, it is every employees responsibility to comply with the companys Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements. Pay Range Minimum: $78,900.00 Pay Range Maximum: $146,000.00 Base pay is determined by a variety of factors including a candidates qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets. Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, age, religion, sex, national origin, sexual orientation/gender identity or any other category protected by applicable federal, state or local law. Highmark Health and its affiliates take affirmative action to employ and advance in employment individuals without regard to race, color, age, religion, sex, national origin, sexual orientation/gender identity, protected veteran status or disability. EEO is The Law Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled/Sexual Orientation/Gender Identity ( https://www.eeoc.gov/sites/default/files/migrated_files/employers/poster_screen_reader_optimized.pdf ) We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact number below. For accommodation requests, please contact HR Services Online at HRServiceshighmarkhealth.org California Consumer Privacy Act Employees, Contractors, and Applicants Notice Req ID: J252318

Specialty/Competency: Data, Analytics & AI Industry/Sector: EUR X-Sector Time Type: Full time Travel Requirements: Up to 80% At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team members unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Required Field(s) of Study Management Information Systems, Computer and Information Science, Systems Engineering,Electrical Engineering,Chemical Engineering,Industrial Engineering,Mathematics,Statistics,Mathematical Statistics Minimum Year(s) of Experience 5 year(s) Preferred Qualifications Demonstrates abilities and/or success in one or many of the following areas: Design and implement comprehensive data architecture strategies that meet the current and future business needs; Develop and document data models, data flow diagrams, and data architecture guidelines; Ensure data architecture is compliant with data governance and data security policies; Collaborate with business stakeholders to understand their data requirements and translate them into technical solutions; Evaluate and recommend new data technologies and tools to enhance data architecture; Build, maintain, and optimize ETL/ELT pipelines for data ingestion, processing, and storage across batch and real-time data processing; Build, maintain, and optimize Data Quality rules leveraging DQ tools and/or other ETL/ELT tools; Develop and deploy scalable data storage solutions using AWS, Azure and GCP services such as S3, Redshift, RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage etc.; Implement data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services; Design and manage data warehouses and data lakes, ensuring data is organized and accessible; Monitor and troubleshoot data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management; Implement IAM roles and policies to manage access and permissions within AWS, Azure, GCP; Use AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments; Use AWS, Azure and GCP DevOps services to build and deploy DevOps pipelines; Implement data security best practices using AWS, Azure, GCP, Snowflake or Databricks; Optimize Cloud resources for cost, performance, and scalability; Strong proficiency in SQL and experience with relational databases; Proficient in programming languages such as Python, Java, or Scala; Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus; Experience with machine learning and data science workflows is a plus; Knowledge of data governance and data security best practices; Strong analytical, problem-solving, and communication skill; and, Ability to work independently and as part of a team in a fast-paced environment. Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas: Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and, Coaching and collaborating with associates who assist with this work, including providing coaching, feedback and guidance on work performance. Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer. For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $100,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance LI-Hybrid

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. As a member of the Optum Data Management team, the Senior Data Manager supports the Arkansas Medicaid Decision Support System (DSS) data warehouse by developing and maintaining data workflows within established ETL processes, identifying and resolving data quality issues, and optimizing processes to improve performance. This person will manage a team of data engineers, on monitoring inbound/outbound data automation working directly with state partners to create new interfaces based on business specifications. The preferred candidate will be a creative thinker and problem solver who is comfortable working independently or in teams. They will be a quick learner who is confident they can master a complex data model with little guidance. The candidate will be detail-oriented, place value on organized documentation, and be able to manage multiple assignments at once. Previous Azure, Snowflake, Informatica, Azure Data Factory or cloud migration experience is a plus. You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: 5 years of Data engineering experience with a focus on Data Warehousing 5 years of experience with relational databases, such as Oracle, Snowflake, SQL Server, etc. 3 years of experience creating data workflows / pipelines using Informatica PowerCenter, SSIS, Azure Data Factory, or similar tools 3 years of experience creating stored procedures with Oracle PL/SQL, SQL Server T-SQL, or Snowflake SQL 3 years analyzing project requirements and developing detailed specifications for ETL requirements 2 years of experience with GitHub, SVN, or similar source control systems 2 years of experience processing structured and un-structured data Proven excellent problem-solving and analytical skills, with the ability to troubleshoot and optimize data pipelines Proven ability to adapt to evolving technologies and changing business requirements Preferred Qualifications: Azure or Snowflake certifications related to data engineering or data analytics 3 years of data modeling experience in a data warehouse environment 2 years of batch or PowerShell scripting 2 years of experience with Python scripting Experience with Azure Data Factory (ADF) and or Informatica Experience with HL7 and FHIR standards, and processing files in these formats Experience designing and building APIs in Snowflake and ADF (e.g. REST, RPC) Experience with State Medicaid / Medicare / Healthcare applications At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. Diversity creates a healthier atmosphere: Unitedhealth Group is an Equal Employment Opportunity/Affirmative Action employers and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law. Unitedhealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

Senior Data Engineer Remote - US Cleo is a cloud integration technology company focused on business outcomes. Every day, we ensure that each one of our 4,000 customers' potential is realized by delivering solutions that make it easy to discover and create value through the connections and integration of enterprise applications supporting critical workflows. By providing the industrys most complete and flexible integration offerings, we are helping our clients build trusted relationships across their partner ecosystems today, while providing all the control and visibility they need to advance their business tomorrow. In a nutshell, Cleo is a rapidly growing category leader in ecosystem integration software and we have experienced tremendous growth over recent years. The Senior Data Engineer is a hands-on leader responsible for designing, developing, and maintaining data pipelines and infrastructure at Cleo. This role involves setting the strategy for data systems, collaborating closely with cross-functional teams, and ensuring the scalability, reliability, and efficiency of data solutions. The Senior Data Engineer will focus on data infrastructure needs for AI/ML models , overseeing the creation of a data warehouse and associated systems from scratch, and ensuring data is properly transformed and optimized for machine learning and artificial intelligence applications. This role is integral to building the processes that support data transformation , data structures , metadata management , data quality controls , and workload management . What You Will Be Doing Lead the Design and Build of Data Pipelines : Develop and maintain scalable, reliable, and efficient data pipelines that collect, process, and store large datasets. Ensure these systems are optimized for AI/ML model training and inference. Set Data Infrastructure Strategy : Define and execute the strategy for building and maintaining data warehouses , data lakes , and other data storage systems that support both operational and analytical needs. Ensure systems are optimized for AI/ML model workflows. Hands-On Data Transformation for AI/ML Models : Design and implement data transformation processes, including feature engineering , data preprocessing , and data augmentation , to ensure data is in the right format for machine learning models. Build Data Structures and Metadata Management : Build and manage the data structures, metadata repositories, and related systems that support data transformation, ensuring the organization has well-documented, accurate, and accessible data for AI/ML workflows. Data Quality Controls and Risk Management : Establish and implement data quality controls to ensure that data used in machine learning models is clean, consistent, and accurate. Identify and raise risks at all stages of the data engineering process, including data ingestion, transformation, and storage. Collaborate with Cross-Functional Teams : Work closely with data scientists , ML engineers , product managers , and business leaders to understand data requirements and ensure data systems meet the needs of AI/ML initiatives. Provide hands-on leadership to guide teams in transforming data for model training. ETL Development and Optimization for AI/ML : Lead the development and optimization of ETL (Extract, Transform, Load) processes for ML/AI data. Focus on efficiently moving and transforming large datasets, ensuring data quality and readiness for model training and deployment. Optimize Data for Model Training and Inference : Ensure data pipelines are designed to support the needs of AI/ML model training, such as handling large volumes of data, managing data quality, and enabling fast model iteration. Data Governance for AI/ML : Define and implement data governance practices to ensure the secure, compliant, and ethical use of data in AI/ML workflows. Stay Current : Keep up with emerging trends in data engineering, particularly those related to AI/ML model development, and implement best practices to optimize data systems for machine learning. Your Qualifications Experience : 5-7 years of experience in data engineering, with a focus on transforming data for AI/ML models and optimizing data systems to support machine learning and artificial intelligence workflows. Hands-On Expertise : Proven experience in hands-on data transformation and building data pipelines for AI/ML, including data preprocessing, feature engineering, and model-specific data handling. Leadership : Experience leading or mentoring data engineering teams, providing hands-on guidance for AI/ML-related projects and collaborating with cross-functional teams. Cloud and Big Data : Strong experience with cloud platforms and big data technologies , particularly in the context of AI/ML model development . A few things we have to offer: Competitive compensation Great Healthcare Dental Vision Flexible PTO Culture of support, encouraging Life-Work balance 401k match FSA and HSA options Employee Assistance Program Paid Parental Leave Representing a company with 4,000 clients and a 99% retention rate Accelerated title and salary growth potential A fun and energetic work environment that makes you excited to go to work every day Cleo Communications, LLC is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status or any other characteristic protected by law.

Data Engineer Jobs in Roland, AR

Devops Data Engineer
November 29, 2024

Senior Big Data Engineer Person360 Mdm
November 29, 2024

Data Engineer Manager
November 24, 2024

Principal Data Engineer
November 24, 2024

Senior Data Engineer
November 23, 2024

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Data Engineer Jobs in Roland, AR

Devops Data EngineerNovember 29, 2024

Senior Big Data Engineer Person360 MdmNovember 29, 2024

Data Engineer ManagerNovember 24, 2024

Principal Data EngineerNovember 24, 2024

Senior Data EngineerNovember 23, 2024