Mid level ETL Developer
Listed on 2026-07-08
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Software Development
Data Engineering, SQL Developer
Position
Title: Mid. Level ETL Developer
Start Date: Early July 2026 (Standard: 7/15/2026)
Location: Must be local to Sacramento, CA region; works onsite but primarily remote. Office hours 8am–6pm, Monday–Friday.
Job Type: W2 Employee
Compensation: DOE; salary range $80k–$105k or hourly $50–$60. Benefits package included.
Pre‑employment Requirements: Professional references, I‑9 eligibility, successful criminal background and drug screen. No visa sponsorship.
Required Skills- 5+ years as an ETL Developer or Data Integration Developer.
- Experience designing, developing, and maintaining ETL pipelines and data workflows.
- Hands‑on PostgreSQL skills: query optimization, data modeling, performance tuning.
- Data quality validation, cleansing, reconciliation, and monitoring.
- Strong SQL development and troubleshooting abilities.
- Ability to translate business requirements into scalable ETL solutions.
- Experience with large datasets and ensuring data accuracy and integrity.
- Experience in Health Care/Health Data environments.
- Proficiency in Python for data processing and automation.
- Experience using Azure Data Studio.
- Familiarity with Visual Studio Code and MSSQL extensions/plugins.
- Understanding of data governance, security, and best practices for data management.
- Design, develop, test, and support ETL processes and data integration solutions.
- Create and optimize PostgreSQL queries, stored procedures, and database objects.
- Perform data quality checks and enforce data validation procedures.
- Troubleshoot and resolve ETL, database, and data integrity issues.
- Collaborate with business stakeholders, analysts, and technical teams to gather requirements and deliver data solutions.
- Document ETL processes, data mappings, and technical specifications.
- Support ongoing enhancements and maintenance of enterprise data platforms.
- Experience with public sector or healthcare data projects.
- Knowledge of cloud-based data platforms and modern data engineering practices.
Stanfield Systems Inc. is an equal opportunity employer and does not discriminate against race, color, sex, national origin, religion, age, equal pay, disability or genetic information. Some positions may require a thorough criminal background check, drug screen, and clearance for security levels. All applicants are required to demonstrate proficiency with online search engines and sophisticated searching strategies.
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