Associate Software Engineer
The Associate Data Engineer is responsible for designing, developing, and maintaining data pipelines and infrastructure to support data processing and analysis. This role involves working with SQL, Python, and various data tools to ensure high-quality, reliable data flow, collaborating closely with data and business teams, and progressively taking ownership of data engineering projects. The position requires strong analytical skills and a commitment to data security and governance standards.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Software Development, IT Services and IT Consulting, Data Infrastructure and Analytics.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
This is an early-career Associate Software Engineer / Associate Data Engineer role focused on building and maintaining reliable data pipelines and data infrastructure. You will:
- Develop and maintain ETL/ELT data pipelines to move and transform data from multiple sources
- Write and optimize SQL queries for data processing and reporting
- Implement data ingestion, validation, and quality checks
- Support relational and cloud-based databases, data warehouses, and data lakes
- Monitor pipeline performance and troubleshoot data issues
- Document data flows, technical designs, and operational runbooks
- Collaborate with Data Analysts, Data Scientists, Software Engineers, and business stakeholders
- Follow data security, governance, and quality best practices
Required Qualifications
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field
- 1–4 years of experience in data engineering, software development, or a related role
- Strong SQL skills and experience with relational databases
- Working knowledge of Python for data tasks and scripting
- Understanding of ETL/ELT concepts and data pipeline patterns
- Familiarity with data warehousing concepts and basic dimensional modeling
- Good analytical/problem-solving skills and clear communication
- Comfortable collaborating across technical and non-technical teams
- Willingness to relocate to Washington (WA) if required
Preferred Skills
- Experience with cloud platforms (AWS, Azure, or Google Cloud)
- Familiarity with orchestration and streaming tools (Apache Airflow, Spark, Kafka)
- Experience or exposure to dbt and modern analytics engineering practices
- Familiarity with Git, CI/CD workflows, and automated testing
- Knowledge of common data formats and APIs (JSON, CSV, REST)
Compensation & Logistics
- Hourly pay: $30.00 – $40.00 per hour (USD)
- Employment type: Full-time
- Location: Washington (WA), United States — relocation expected or required in some cases
Why You’ll Like This Role
- Hands-on experience building real-world data pipelines and analytics infrastructure
- Collaborative environment where you’ll learn from data engineers, analysts, and software teams
- Opportunity to grow into ownership of data engineering projects and production systems
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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