Data Engineer

Lead Data Engineer (Contract)

We are not accepting C2C or 1099 arrangements.


Location: Chandler, AZ (Preferred) or Charlotte, NC
Work Model: Hybrid (3 days onsite)
Duration: 6 months (potential to extend)

About the Role

We are seeking a Lead Data Engineer to join the Data & Insights team, focused on building scalable data platforms and delivering enterprise-level insights. This role will support the Enterprise Information Warehouse and play a key part in ETL development and cloud migration to Google Cloud Platform (GCP) .

You will work on designing and implementing high-performance data pipelines, partnering with cross-functional teams to solve complex data challenges and enable advanced analytics.

What You'll Do

• Lead moderately complex data engineering initiatives aligned to enterprise strategy
• Design, build, and maintain scalable, high-performance ETL pipelines
• Develop and optimize data processing frameworks using Ab Initio, Spark, and GCP
• Analyze business and technical requirements to design effective data solutions
• Build and maintain data models, data warehouses, and analytics environments
• Ensure data quality, reliability, and availability across platforms
• Perform code reviews with an emphasis on testability and quality
• Troubleshoot and resolve production issues in distributed data environments
• Collaborate with engineers, analysts, and stakeholders to deliver data-driven solutions
• Support cloud migration initiatives and modern data architecture strategies

Minimum Qualifications

• 5+ years of experience in Data Engineering or Database Engineering (or equivalent experience)
• Strong hands-on experience with:
  • Ab Initio (ETL development)
  • Apache Spark (Core, SQL, DataFrames, Datasets)
  • SQL and Data Warehousing (Teradata, Oracle, PL/SQL)
• 3+ years of experience with Python or similar scripting languages
• Experience with Google Cloud Platform (GCP) or other cloud platforms (AWS/Azure)
• Solid understanding of distributed systems and parallel data processing
• Experience with workflow orchestration tools (e.g., Airflow, Autosys)
• Proven ability to deliver end-to-end data engineering solutions
• Experience working in Agile/Scrum environments
• Strong verbal and written communication skills

Preferred Qualifications

• Prior experience in financial services
• Leadership experience guiding teams or large-scale data initiatives
• Experience with:
  • BigQuery, Hadoop, Hive
  • Kafka or real-time data streaming technologies
  • Non-relational databases (e.g., MongoDB)
• Exposure to machine learning pipelines, Spark ML, or AI/LLM frameworks
• Familiarity with CI/CD pipelines and infrastructure-as-code practices
• Strong Unix/Linux and shell scripting skills

Top Skills

• Ab Initio
• Apache Spark
• Google Cloud Platform (GCP)

Additional Information

• Hybrid schedule with flexibility on in-office days
• Team is primarily based in Chandler, AZ
• Opportunity to work on large-scale data transformation and cloud migration initiatives