Senior Data Engineer

Jobgether; Remote; IDR 200.000.000 - 300.000.000; Full time

Job summary

A leading recruitment service is hiring for a Senior Data Engineer to work remotely. The role involves designing and maintaining secure data pipelines, supporting analytics and decision-making. Qualified candidates should have over 5 years of experience in data engineering, strong SQL skills, and proficiency in ETL tools like Talend. Benefits include flexible PTO and a comprehensive benefits package. Join a team that positively impacts millions of lives through effective data solutions.

Benefits

Tech & Education Stipend

Comprehensive Benefits Package

Company Match 401(k) plan

Flexible PTO

Paid Holidays

Qualifications

• 5+ years of experience in data engineering or platform development.
• Strong SQL and experience with relational databases.
• Hands-on with ETL/ELT tools, preferably Talend.
• Experience with modern data platforms like Snowflake or BigQuery.
• Proficiency in Python for automation.

Responsibilities

• Design and maintain ETL/ELT pipelines across systems.
• Transform and model data for reporting and analytics.
• Build API and file-based integrations for enterprise platforms.
• Implement monitoring and data quality checks.

Skills

Data engineering experience

SQL expertise

ETL/ELT tools (Talend preferred)

Python for pipeline automation

Cloud environment experience (AWS preferred)

Problem-solving with complex datasets

Tools

PostgreSQL

Oracle

SQL Server

Snowflake

Redshift

BigQuery

Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer - REMOTE. In this role, you will be instrumental in designing, building, and maintaining secure and scalable data pipelines that enable an effective use of enterprise data. Your work will support analytics, reporting, and decision-making that ultimately impacts the daily lives of millions of people. You will collaborate with engineers, analysts, and data stewards, ensuring the delivery of reliable datasets and AI-ready models that drive impactful data solutions.

Accountabilities

• Design, build, and maintain ETL/ELT pipelines and integrations across legacy and cloud systems.
• Model, store, and transform data to support analytics, reporting, and downstream applications.
• Build API-based and file-based integrations across enterprise platforms.
• Ensure compliance with federal security and data governance frameworks (HIPAA, NIST, RMF, CMMC).
• Implement monitoring, logging, and data quality checks for reliable, scalable pipelines.
• Partner with analysts and data science teams to deliver trusted, AI-ready datasets.
• Support data migration and integration initiatives across enterprise systems.
• Maintain schema management, data lineage, and documentation to support audit and traceability.
• Troubleshoot ingestion, pipeline, and data quality issues.

Requirements

• 5+ years of experience in data engineering or data platform development.
• Strong SQL and experience with relational databases (PostgreSQL, Oracle, SQL Server, etc.).
• Hands‑on with ETL/ELT tools (Talend preferred; Apache Spark, Apache Airflow, dbt, or Informatica).
• Experience with modern data platforms (Snowflake, Redshift, BigQuery, or equivalent).
• Proficiency in Python or similar for building and automating pipelines.
• Experience operating in cloud environments (AWS preferred, including GovCloud‑style environments).
• Understanding of data lake or lakehouse architectures.
• Familiarity with security and compliance in federal or healthcare environments (HIPAA, NIST, RMF).
• Strong problem‑solving skills working with large, complex datasets.

Benefits

• Fully remote
• Tech & Education Stipend
• Comprehensive Benefits Package
• Company Match 401(k) plan
• Flexible PTO, Paid Holidays

Why Apply Through Jobgether?

We use an AI‑powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top‑fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre‑contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.