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Data Engineer II

Data Engineer Full-time Permanent United States

Job details

$118,750—$156,250 Salary
United States Eligibility
Junior Experience
Full-time Employment

About this role

Role overview

Build and maintain reliable data pipelines that move information from source systems into outputs used for analysis and business decisions. Working from designs provided by senior engineers, you’ll implement changes within established conventions, learn the team’s tools and practices, and develop your ability to diagnose data issues. The role also contributes to secure data handling and dependable pipeline operations.

Responsibilities

- Implement ingestion pipelines and workflow schedules from engineering designs, including code, unit tests, and documentation. - Extend existing pipelines with new fields and support data delivery integrations under guidance. - Apply established controls for sensitive data, including masking and access restrictions. - Respond to pipeline alerts using runbooks, investigate issues, and escalate with useful context when needed. - Work with analysts, engineers, and data scientists to clarify requirements and address data integrity concerns. - Participate in code and system reviews, write clear change descriptions, and incorporate feedback into future work.

Requirements

- Around one to three years of professional software or data engineering experience. - Strong Python fundamentals and deep SQL knowledge, including complex ETL or ELT transformations. - Familiarity with unit tests, existing codebases, Git, and pull-request review workflows. - Basic understanding of ingestion, idempotency, scheduling, and data quality; able to learn orchestration tools such as Airflow. - Experience with several tools in the data ecosystem, such as Snowflake, Databricks, AWS, dbt, Tableau, MongoDB, or PostgreSQL. - Clear communicator who asks questions early, flags blockers, responds constructively to review, and works to prevent technical debt.

Nice to have

- Exposure to data warehouses or lakehouses, data catalog or lineage tools, reverse ETL, and pipeline monitoring. - Familiarity with access governance, sensitive-data protection, or regulated industries.

Benefits and work setup

- The source notes that interviews or onboarding may include in-person activities, with travel and participation details depending on role and location.

Skills detected in the listing

PythonSQLPostgreSQLSnowflakeTableaudbtApache AirflowData EngineeringStakeholder ManagementInformation SecurityAWS
Detected Nov 9, 2026
Last verified Nov 9, 2026

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