Senior Data Engineer

Job description
Company Description
Oncorre Inc. is a boutique digital transformation consultancy headquartered in Bridgewater, New Jersey. Established in 2007, Oncorre provides cutting-edge engineering solutions for Fortune companies and Government Agencies across the USA. Our mission is to help enterprises accelerate adoption of new technologies, untangle complex issues during digital evolution, and orchestrate ongoing innovation. We offer flexible service models, including both onsite and offsite support, to meet our clients' diverse needs.

Job Type: Full-time or Contract

Start Date:

Apr 01 2026

Role Description
This is a full-time hybrid role for a Data Engineer - SQL and Snowflake at Oncorre Inc. The role will involve tasks such as data engineering, data modeling, ETL processes, data warehousing, and data analytics.

Job Description:

Candidate should Provide technical expertise in needs identification, data modeling, data movement, and translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective. Good knowledge of conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/No

SQL). Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively

· 8+ Years of experience as a Data Engineer

· Strong technical expertise in SQL and Snowflake is a must.

· Strong knowledge of joins and common table expressions (CTEs)

· Strong experience with Python

· Strong expertise in ETL process and with various data model concepts

· Knowledge of star schema and snowflake schema

· Good to know about AWS services such as S3, Athena, Glue, EMR/Spark with a major emphasis on S3 and Glue

· Experience with Big Data Tools and technologies

Key

Skills:

· Good Understanding of data structures and data analysis using SQL

· Knowledge of implementing ETL/ELT for data solutions end-to-end

· Understanding requirements, and data solutions (ingest, storage, integration, processing)

· Knowledge of analyzing data using SQL

· Conducting End to End verification and validation for the entire application

Responsibilities:

· Understand and translate business needs into data models supporting long-term solutions.

· Perform reverse engineering of physical data models from databases and SQL scripts.

· Analyze data-related system integration challenges and propose appropriate solutions.

· Assist with and support setting the data architecture direction (including data movement approach, architecture/technology strategy, and any other data-related considerations to ensure business value)