Envision Technology Solutions

Ab Initio Data Engineers – Berkeley Heights, NJ (Onsite, Contract)

Contract · In Office · Berkeley Heights, New Jersey (USA)

Posted Aug 4, 2026

Work Options

In Office

Cloud Stack

Snowflake

Skills

Kafka Spark Kubernetes SQL Hadoop

Industry

Job Type

Position Group

Job Title: Ab Initio Data Engineer
Location: Berkeley Heights, NJ (5 days onsite, flexible to support weekends)
Type: Contract (C2C/W2)
Interview Process: Video
Experience Level: 7+ years ETL, 5+ years Ab Initio
Job Description:
Position Overview
We are seeking Ab Initio Data Engineers to design and implement high‑performance, event‑driven data pipelines for a large credit card processing system. The role requires deep expertise in the Ab Initio ecosystem (GDE, EME, Conduct>It), strong SQL, and large‑volume data processing skills.
Key Responsibilities
Design, develop, and maintain complex ETL graphs using Ab Initio GDE
Architect end‑to‑end data integration solutions across RDBMS, mainframe, flat files, message queues
Optimize graph performance (parallelism, partitioning, layout tuning, checkpointing)
Lead development using Ab Initio components: Co>Operating System, EME, Conduct>It, Data Profiler, Continuous Flows
Own metadata management and data lineage within EME
Design and implement CDC (Change Data Capture) and near‑real‑time pipelines
Troubleshoot production job failures, perform RCA, and implement fixes with minimal downtime
Define coding standards, review peer graphs, enforce best practices
Mentor junior/mid‑level Ab Initio developers
Collaborate with architects, DBAs, and analysts to translate requirements into technical design
Required Qualifications
Bachelor’s in Computer Science, Engineering, or related field
7+ years ETL development, 5+ years Ab Initio experience
Strong hands‑on expertise with GDE, Co>Op, EME, Conduct>It
Deep understanding of parallel processing, partitioning, MFS
Strong SQL skills with DB2
Experience with Unix/Linux shell scripting
Solid understanding of data warehousing concepts (dimensional modeling, SCDs, star/snowflake schemas)
Experience with Kafka
Strong debugging and performance‑tuning skills
Preferred Qualifications
Experience with mainframe data integration (COBOL copybooks, VSAM, flat files)
Exposure to Kubernetes, OpenShift
Familiarity with Hadoop/Spark ecosystems and hybrid ETL architectures
Knowledge of API‑based or streaming integration (Kafka)
Prior experience as a technical lead or client‑facing architect
Soft Skills / Leadership
Strong analytical and problem‑solving skills
Ability to lead design discussions and drive consensus
Effective mentorship and knowledge‑sharing
Clear communication with technical and business stakeholders