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Data Engineer Data Jobs in Sparta, NJ (NOW HIRING)

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Data Engineer Data information

See Sparta, NJ salary details

$48.4K

$173.6K

$256.1K

How much do data engineer data jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data engineer data in Sparta, NJ is $173,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,400.00 and $178,800.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer Data vs Data Analyst?

AspectData Engineer DataData Analyst
Primary RoleBuilds and maintains data pipelines and infrastructureAnalyzes data to generate insights and reports
Skills & CertificationsSQL, Python, ETL tools, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, analytics teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, operations, business intelligence

While Data Engineer Data focuses on creating and managing data infrastructure, Data Analysts interpret this data to support decision-making. Both roles require strong SQL skills, but Data Engineers typically work more with data pipelines and cloud platforms, whereas Data Analysts focus on data visualization and reporting.

What job categories do people searching Data Engineer Data jobs in Sparta, NJ look for?

The top searched job categories for Data Engineer Data jobs in Sparta, NJ are:

What cities near Sparta, NJ are hiring for Data Engineer Data jobs?

Cities near Sparta, NJ with the most Data Engineer Data job openings:

Data Engineer Data jobs near you

Ab Initio Data Engineer

PB consulting

East Hanover, NJ • Hybrid

Full-time

Posted 12 days ago

Job description

Required Qualifications
  • Bachelor’s degree in Computer Science, Engineering, or related technical field.
  • 7+ years of ETL development experience with 5+ years of hands-on experience in Ab Initio development.
  • Strong expertise with:
    • Ab Initio GDE (Graphical Development Environment)
    • Co>Operating System (Co>Op)
    • Enterprise Meta>Environment (EME)
    • Conduct>It
    • Data Profiler and Continuous Flows
  • Strong understanding of parallel processing concepts, partitioning strategies, and Multi-File System (MFS).
  • Advanced SQL skills with experience in relational databases, especially DB2.
  • Strong experience with Unix/Linux shell scripting.
  • Solid understanding of data warehousing concepts:
    • Dimensional modeling
    • Slowly Changing Dimensions (SCD)
    • Star and Snowflake schemas
  • Experience designing and implementing Kafka-based data pipelines.
  • Strong debugging, troubleshooting, and performance tuning skills for large-volume data processing.
Preferred Qualifications
  • Experience with mainframe data integration: COBOL copybooks, VSAM, Flat files
  • Exposure to Kubernetes or OpenShift environments.
  • Familiarity with Hadoop/Spark ecosystems and hybrid ETL architectures.
  • Experience with API-based integrations and streaming data solutions.
  • Prior experience as a technical lead or in client-facing architecture roles.
Roles and Responsibilities
  • Design, develop, and maintain complex ETL workflows and graphs using Ab Initio GDE.
  • Architect end-to-end data integration solutions across multiple source and target systems including: RDBMS, Mainframe systems, Flat files, Message queues, Streaming platforms
  • Optimize Ab Initio graph performance through: Parallelism, Partitioning techniques (Hash, Broadcast, Range), Layout optimization, Checkpointing strategies
  • Develop and manage solutions using Ab Initio components including Co>Op, EME, Conduct>It, Data Profiler, and Continuous Flows.
  • Implement CDC (Change Data Capture) and near-real-time data processing pipelines.
  • Manage metadata, lineage, and data governance activities within EME.
  • Troubleshoot production issues, perform root-cause analysis, and implement permanent fixes.
  • Define development standards, review ETL code, and enforce Ab Initio best practices.
  • Mentor junior and mid-level Ab Initio developers.
  • Collaborate with data architects, DBAs, and business teams to translate requirements into technical solutions.

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