Data Engineer

We're looking for a seasoned Data Engineer III who is passionate about building scalable and

resilient cloud-native data infrastructure - with a focus on governance, CI / CD, automation, and

platform maturity. You will be a key contributor in evolving our modern data stack, ensuring

operational excellence and code quality across ETL pipelines, metadata frameworks, and real time / batch data services.

You'll work at the intersection of data engineering, DevOps, and governance, setting standards

across code repositories, orchestrators (Airflow), compute layers (Glue / EMR), and ingestion

tools (DMS, Kafka, etc.).

Primary Responsibilities

• Maintain and evolve OLTP (Postgres) and OLAP (Redshift) data models / data lakes by

evaluating new feature requirements, ensuring alignment with dimensional modeling best

practices, and executing schema changes via Liquibase pipelines.

logging, auditing, and job orchestration.

code review and CI pipelines for ETL / data jobs.

and Shell / Python scripting.

across environments (QA, Stage, Prod).

standards and shared configuration patterns.

and alerting (CloudWatch, SNS).

or zero-ETL patterns.

environments.

analytical readiness

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity / affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and / or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy :

Required Skills & Experience

8+ years of experience in data engineering or platform engineering with exposure to

production-grade data pipelines and systems.

modular codebases.

CloudWatch.

mapping, alerts).

and managing batch vs. streaming ingestion.

(Postgres, Redshift).

controls, and audit logging.

operational transparency

Nice to Have Skills & Experience

managing deployment pipelines for data workloads.

Benefit packages for this role will start on the 31st 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.