Java/SQL Data Engineer - INTL India

Insight Global
New York, NY, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$16,640.0 - $20,800.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) Amazon Web Services Amazon S3 Batch Processing Big Data Information Engineering Data Integration Extract Transform Load (ETL) Data Transformation Data Warehousing IBM DB2 Relational Databases
+11 more
Database Queries Database Storage Structures Microsoft SQL Server Standard Sql SQL Databases Enterprise Data Management Snowflake Sybase AWS Lambda AWS Glue Data Management

Job description

We are seeking a Data Engineer to join a team responsible for building and supporting the data platforms that power critical financial reporting and business metrics across the organization. This role will focus on designing and developing scalable ETL pipelines, transforming and integrating large datasets, and supporting reporting related to assets, revenue, sales commitments, and quarterly financial releases. The ideal candidate has strong SQL and Java experience, a passion for solving complex data challenges, and hands-on experience working with AWS technologies, Snowflake, and enterprise data warehouses. This is a highly technical, end-to-end data engineering role on a team that values ownership, problem-solving, and building scalable solutions that drive key financial reporting and decision-making.

Requirements

Candidates should have a strong foundation in SQL, relational databases, and data modeling concepts. They should be comfortable designing tables, defining relationships between datasets, writing complex joins, and understanding normalization principles to create efficient and scalable database structures. The team is looking for engineers who can take real-world business scenarios and translate them into well-designed data models., 3-5+ years of experience in Data Engineering, Backend Engineering, or a related field -Expert-level SQL skills with experience writing complex queries, optimizing performance, and working with large datasets. -Strong Java development experience. -Experience building and maintaining ETL/data transformation pipelines from scratch. -Strong understanding of data transformation, data integration, and large-scale batch processing. -Experience owning end-to-end data jobs from development through production support. -Strong analytical and problem-solving skills.

Nice to Have Skills & Experience

-Hands-on experience with AWS services, including: (AWS Glue, AWS Lambda, Amazon S3) -Experience working with relational databases such as: (DB2, Sybase, SQL Server, Snowflake) -Experience with Scala, particularly for ETL and data transformation workloads. -Financial services or banking industry experience -Experience working with Snowflake data warehouses. -Experience modernizing or migrating legacy data platforms.

Benefits & conditions

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on jobs.insightglobal.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

56 sec

Introduction to analytical data formats for software developers

Matthias Niehoff Matthias Niehoff · WWC Europe 2026

2:53 min

Preparing highly scalable facial recognition for big data

Sefik Serengil · LIVE

Videos

See all

Related articles

See all