Staff Data Engineer (contract)

Key Responsibilities

• Design, build, and maintain scalable GCP-based data platforms, pipelines, and APIs
• Translate business requirements into robust, future-ready technical solutions
• Develop high-quality, reusable APIs that accelerate time-to-insight
• Establish and promote best practices for API development, CI/CD, testing, observability, and security
• Implement automated workflows to reduce operational effort and meet SLAs
• Lead solution design, data architecture discussions, and technical decision-making
• Mentor and coach engineers while fostering a collaborative, growth-oriented team culture
• Contribute to the broader data engineering community by promoting standards and innovation

Required Qualifications

• Experience & Education: Bachelor’s degree in Computer Science or related field (Master’s preferred) or equivalent experience, 10+ years of IT experience, 5+ years of Data Engineering experience, 3+ years of API development experience
• Technical Skills: Strong expertise in GCP data and API architectures, Hands-on experience with BigQuery, Cloud Run, GKE, Cloud Functions, Bigtable, Cloud SQL/Spanner, CI/CD, and Cloud Logging, API development experience using Apigee and Python (FastAPI preferred), Proficiency in Python, Java, or Scala, Experience with SQL and data formats (JSON, Avro, Parquet), Familiarity with streaming technologies (Kafka, Spark Streaming), Strong Git/GitHub and CI/CD automation skills, GCP Professional Data Engineer certification preferred
• Core Competencies: Strong analytical and problem-solving skills, Excellent communication and collaboration skills, Agile mindset with experience mentoring engineers, Self-directed, growth-oriented, and adaptable to change

Pay and Benefits

The pay range that the employer in good faith reasonably expects to pay for this position is $42.35/hour - $66.18/hour. Our benefits include medical, dental, vision and retirement benefits.