Job Title: Sr Data EngineerLocation: Weehawken, New Jersey, United StatesContact to : Sachin.Kumar2@synechron.com Summary: As a Sr Data Engineer, you will collaborate with stakeholders across the business to work on complex technical requirements. You will be responsible for managing multiple engagements, prioritize and resolve complex problems and escalate as necessary, in a fast paced environment. Key Responsibilities:<ul><li>Design and construct high-performing data architecture for both operational and analytical purposes.</li><li>Create and maintain robust, scalable, and efficient data pipelines.</li><li>Implement complex ETL processes to integrate disparate data sources into a centralized data warehouse.</li><li>Lead the optimization of data flow and collection to support data science and business analytics teams.</li><li>Manage and improve existing databases and data systems, implementing upgrades and enhancements.</li><li>Collaborate with cross-functional teams, including data scientists, business analysts, and IT teams to fulfill data needs and implement solutions.</li><li>Establish data governance and ensure compliance with data security and privacy regulations.</li><li>Mentor junior data engineers and provide guidance on best practices.</li><li>Regularly evaluate system performance, implementing improvements, and conducting system troubleshooting.</li><li>Stay current with industry trends, technologies, and advancements in data engineering.</li></ul> Qualifications:<ul><li>Bachelor’s or master’s degree in Computer Science, Engineering, or a related field.</li><li>A minimum of 5 years of experience in a data engineering role.</li><li>Strong analytical skills with the ability to work with large data sets from multiple sources.</li><li>Proficiency in SQL and experience with relational SQL and NoSQL databases, including Postgres and Cassandra.</li><li>Experience with big data tools: Hadoop, Spark, Kafka, etc.</li><li>Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.</li><li>Experience with AWS cloud services: EC2, EMR, RDS, Redshift.</li><li>Strong project management and organizational skills.</li><li>Excellent communication skills, with the ability to work collaboratively and lead team projects.</li><li>Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.</li></ul> Preferred Skills:<ul><li>Experience with stream-processing systems: Storm, Spark-Streaming, etc.</li><li>Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.</li><li>Proven analytical skills and problem-solving attitude.</li><li>Relevant certifications in data engineering and cloud platforms.</li></ul> We can offer you:<ul><li>A highly competitive compensation and benefits package</li><li>A multinational organization with 51 offices in 20 countries and the possibility to work abroad</li><li>Laptop and a mobile phone</li><li>10 days of paid annual leave (plus sick leave and national holidays)</li><li>Maternity & Paternity leave plans</li><li>A comprehensive insurance plan including: medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region)</li><li>Retirement savings plans</li><li>A higher education certification policy</li><li>Commuter benefits (varies by region)</li><li>Extensive training opportunities, focused on skills, substantive knowledge, and personal development</li><li>On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses</li><li>Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups</li><li>Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms</li><li>A flat and approachable organization</li><li>A truly diverse, fun-loving and global work culture</li></ul> SYNECHRON’S DIVERSITY & INCLUSION STATEMENTDiversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law

Center 2 (19050), United States of America, McLean, VirginiaSenior Data Engineer - Principal Associate (Remote-Eligible)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 such as Machine Learning based Data Quality solutions.Team Info:As a Capital One Data Engineer, you''ll have the opportunity to be on the forefront of driving a major transformation within Capital One. You''ll be driving the creation of the next generation transformation engine within the Finance Technology Line of Business, allowing multiple other applications to source business critical data that is of the highest quality while meeting strict Service Level Agreements.What You''ll Do:Collaborate with and across Agile teams and lines of businesses to design, develop, test, implement, and support technical solutions for data transformation using technologies such as Spark, Scala, PythonBuild a machine learning based data quality solution for Anomaly detectionWork with a team of developers with deep experience in machine learning, data engineering, distributed microservices, and full stack systemsUtilize programming languages like Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as SnowflakeShare 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 communityCollaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowermentPerform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performanceCapital One is open to hiring a Remote Employee for this opportunity Basic Qualifications:Bachelor''s Degree At least 4 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 Java2+ 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, or MySQL)2+ years of data warehousing experience (Redshift or Snowflake)3+ years of experience with UNIX/Linux including basic commands and shell scripting2+ years of experience with Agile engineering practicesAt this time, Capital One will not sponsor a new applicant for employment authorization for this position.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, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, 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 City''s Fair Chance Act; Philadelphia''s 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 [Click Here to Email Your Resum]. 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 [Click Here to Email Your Resum]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).

Role: Senior Data EngineerWork Location: Weehawken, New Jersey, United StatesContact: Sachin.s@synechron.com Our Challenge:As a Senior Data Engineer, you will collaborate with stakeholders across the business to work on complex technical requirements. You will be responsible for managing multiple engagements, prioritize and resolve complex problems and escalate as necessary, in a fast-paced environment. The RoleResponsibilities:<ol><li>Design and implement data virtualization solutions to provide unified access to disparate data sources and systems, enabling efficient data integration and consumption.</li><li>Develop complex SQL queries, stored procedures, and functions to enable data retrieval, transformation, and aggregation in support of analytics and reporting requirements.</li><li>Collaborate with DevOps teams to implement and maintain data infrastructure, including data storage, processing, and orchestration using cloud-based platforms and infrastructure as code (IaC) practices.</li><li>Build and optimize data pipelines using Python, leveraging libraries and frameworks for data manipulation, transformation, and ETL processes.</li><li>Implement and optimize data workflows using Databricks, including data ingestion, processing, and analytics on distributed computing clusters.</li><li>Perform data modeling, schema design, and performance tuning to ensure efficient storage and retrieval of large-scale datasets.</li><li>Work closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver scalable, performant data solutions.</li><li>Collaborate with cross-functional teams to ensure data security, compliance, and governance best practices are implemented across data infrastructure and pipelines.</li><li>Provide technical leadership and mentorship to junior data engineers and data analysts.</li></ol> Requirements:You are:<ul><li>Bachelor’s degree in Computer Science, Engineering, or related field. Master’s degree or relevant certifications are a plus.</li><li>Proven experience as a Data Engineer with a strong emphasis on data virtualization, SQL programming, DevOps practices, Python, and Databricks.</li><li>Proficiency in data virtualization platforms such as Denodo, Informatica, or Cisco Data Virtualization for unified data access and integration.</li><li>Advanced SQL programming skills for data retrieval, transformation, and optimization in relational databases and data warehouses.</li><li>Experience with cloud platforms (e.g., AWS, Azure, GCP) and infrastructure automation tools for DevOps practices and data infrastructure management.</li><li>Strong programming skills in Python for data manipulation, ETL processes, and automation of data workflows.</li><li>Proficiency in Databricks for distributed data processing, analytics, and machine learning on big data.</li><li>Effective communication and collaboration skills to work with cross-functional teams and stakeholders.</li></ul> It would be great if you also had:<ul><li>Knowledge of containerization technologies such as Docker and Kubernetes for containerized data workloads.</li><li>Familiarity with data governance, data quality management, and metadata management best practices.</li><li>Experience with Apache Spark for large-scale data processing and analytics.</li><li>Understanding of data streaming platforms such as Apache Kafka for real-time data ingestion and processing.</li></ul> We can offer you:<ul><li>A highly competitive compensation and benefits package</li><li>A multinational organization with 51 offices in 20 countries and the possibility to work abroad.</li><li>Laptop and a mobile phone</li><li>10 days of paid annual leave (plus sick leave and national holidays)</li><li>Maternity & Paternity leave plans</li><li>A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region)</li><li>Retirement savings plans</li><li>A higher education certification policy</li><li>Commuter benefits (varies by region)</li><li>Extensive training opportunities, focused on skills, substantive knowledge, and personal development.</li><li>On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses</li><li>Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups</li><li>Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms.</li><li>A flat and approachable organization</li><li>A truly diverse, fun-loving and global work culture</li></ul> SYNECHRON’S DIVERSITY & INCLUSION STATEMENTDiversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

We areAt Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. We began life in 2001 as a small, self-funded team of technology specialists. Since then, we’ve grown our organization to over 13950+ people, across 52 offices, in 20 countries, in key global markets. Our challengeWe are looking for a skilled Data Engineer having experience in Data Virtualization, SQL programming and Databricks. The RoleResponsibilities:<ul><li>Analyze and organize raw data </li><li>Build data systems and pipelines</li><li>Evaluate business needs and objectives</li><li>Conduct complex data analysis and report on results </li><li>Prepare data for prescriptive and predictive modeling</li><li>Build algorithms and prototypes</li><li>Combine raw information from different sources</li><li>Explore ways to enhance data quality and reliability</li><li>Identify opportunities for data acquisition</li><li>Develop analytical tools and programs</li></ul> Requirements: You are: <ul><li>Data Virtualization, SQL programming, DevOps, Java (not needed), Python and Databricks.</li><li>Previous experience as a data engineer or in a similar role</li><li>Technical expertise with data models, data mining, and segmentation techniques</li><li>Knowledge of programming languages (e.g. Java and Python)</li><li>Hands-on experience with SQL database design</li><li>Great numerical and analytical skills</li></ul> It would be great if you also had:JavaBanking/ Financial Experience. We can offer you:· A highly competitive compensation and benefits package· A multinational organization with 52 offices in 20 countries and the possibility to work abroad· Laptop and a mobile phone· 10 days of paid annual leave (plus sick leave and national holidays)· Maternity & Paternity leave plans· A comprehensive insurance plan including: medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region)· Retirement savings plans· A higher education certification policy· Commuter benefits (varies by region)· Extensive training opportunities, focused on skills, substantive knowledge, and personal development· On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses· Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups· Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms· A flat and approachable organization· A truly diverse, fun-loving and global work culture SYNECHRON’S DIVERSITY & INCLUSION STATEMENTDiversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative<a> ‘Synclusive’</a> is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Role: Sr. Data Engineer with Devops ExperienceLocation: Weehawken, New Jersey, United StatesDay 1 Hybrid Onsite Key Responsibilities:<ul><li>Design, construct, install, test, and maintain highly scalable data management systems.</li><li>Ensure systems meet business requirements and industry practices.</li><li>Build high-performance algorithms, prototypes, predictive models, and proof of concepts.</li><li>Use data virtualization technology to abstract and integrate data from various sources.</li><li>Develop set processes for data modeling, mining, and production.</li><li>Employ an array of technological languages and tools to connect systems together.</li><li>Implement complex SQL programming to query and transform data efficiently.</li><li>Collaborate with data science teams to transform data and integrate algorithms and models into automated processes.</li><li>Utilize DevOps practices for continuous integration and deployment (CI/CD) to streamline development.</li><li>Work with Python to create scalable and repeatable data engineering solutions.</li><li>Leverage Databricks for big data analytics and processing.</li><li>Integrate up-and-coming data management and software engineering technologies into existing data structures.</li><li>Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity.</li><li>Implement automated workflows and routines using workflow scheduling tools.</li><li>Document and communicate standard methods and tools used.</li></ul>Qualifications:<ul><li>Bachelor's degree in Computer Science, Engineering, Mathematics, or related field; Master’s degree is a plus.</li><li>Proven experience in a Data Engineering role with a focus on Data Virtualization, SQL, and Python.</li><li>Strong experience with SQL database design and multiple programming languages.</li><li>Solid experience with DevOps tools such as Jenkins, Git, Kubernetes, Docker, etc.</li><li>Proficient with Python for data engineering tasks.</li><li>Experience with Databricks or similar big data processing platforms.</li><li>Familiarity with data modeling and data architecture optimization.</li><li>Experience with cloud services (AWS, Azure, GCP) is strongly preferred.</li><li>Strong analytical skills and problem-solving aptitude.</li></ul>Preferred Skills:<ul><li>Advanced SQL programming skills.</li><li>Proven ability to work in a team in a fast-paced environment.</li><li>Excellent communication and collaboration abilities.</li></ul> We can offer you:<ul><li>A highly competitive compensation and benefits package</li><li>A multinational organization with 52 offices in 20 countries and the possibility to work abroad</li><li>Laptop and a mobile phone</li><li>10 days of paid annual leave (plus sick leave and national holidays)</li><li>Maternity & Paternity leave plans</li><li>A comprehensive insurance plan including: medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region)</li><li>Retirement savings plans</li><li>A higher education certification policy</li><li>Commuter benefits (varies by region)</li><li>Extensive training opportunities, focused on skills, substantive knowledge, and personal development</li><li>On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses</li><li>Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups</li><li>Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms</li><li>A flat and approachable organization</li><li>A truly diverse, fun-loving and global work culture</li></ul> SYNECHRON’S DIVERSITY & INCLUSION STATEMENT:Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Synclusive’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. Thanks and RegardsVikarant Kumar

Data Engineer Jobs in Weehawken, NJ

Data Engineer
May 26, 2024

Senior Data Engineer
May 24, 2024

Senior Data Engineer
May 21, 2024

Senior Data Engineer
May 19, 2024

Senior Data Engineer Principal Associate Remoteeligible
May 17, 2024

Senior Data Engineer
May 16, 2024

Senior Data Engineer With Azure And Scala
May 11, 2024

Data Engineer
May 11, 2024

Data Engineer
May 10, 2024

Sr Data Engineer With Devops Experience
May 10, 2024

Quick filters

Top companies

Data Engineer Jobs in Weehawken, NJ

Data EngineerMay 26, 2024

Senior Data EngineerMay 24, 2024

Senior Data EngineerMay 21, 2024

Senior Data EngineerMay 19, 2024

Senior Data Engineer Principal Associate RemoteeligibleMay 17, 2024

Senior Data EngineerMay 16, 2024

Senior Data Engineer With Azure And ScalaMay 11, 2024

Data EngineerMay 11, 2024

Data EngineerMay 10, 2024

Sr Data Engineer With Devops ExperienceMay 10, 2024