Lead Data Engineer

About the role

Our client is a well-established organization undergoing a major transformation of its enterprise data environment. They are investing in modern cloud technologies and building a scalable analytics platform to support future business growth. This is an opportunity to join a collaborative team where you'll have significant influence over data strategy, architecture, and engineering best practices.

Key Responsibilities

• Design, develop, and support scalable ETL/ELT pipelines for enterprise reporting and analytics.
• Build cloud-based data solutions utilizing Databricks and AWS technologies.
• Create reliable, high-performing data workflows that support both batch and streaming processes.
• Collaborate with business partners to understand reporting and data requirements.
• Establish and promote engineering standards, coding best practices, and data governance.
• Optimize existing data architecture for performance, scalability, and reliability.
• Mentor junior team members and provide technical leadership on complex initiatives.
• Troubleshoot production issues and drive continuous improvements across the data platform.

Qualifications

• 10+ years of experience in data engineering or a related field.
• Hands-on experience with Databricks, including Spark and Delta Lake.
• Strong ETL development experience, including SSIS.
• Advanced SQL and Python programming skills.
• Experience working within AWS cloud environments.
• Oracle database experience.
• Knowledge of Agile development methodologies.
• Strong communication and collaboration skills.

Preferred Qualifications

• Experience designing enterprise data architecture.
• Familiarity with modern Lakehouse concepts and cloud data platforms.
• Experience with CI/CD and DevOps practices.
• Previous technical leadership or mentoring experience.
• Transportation, logistics, or fleet management industry experience is a plus.

Benefits

• This position is eligible for medical, dental, vision, and 401(k).

Pay

$75.00 - $85.00 / Per Hour | $130,000 – $150,000 / Annually + Bonus upon conversion

Schedule

Hybrid schedule (3 days onsite preferred). Remote candidates with strong qualifications will also be considered.

Additional Details

• Contract-to-hire opportunity.
• Team size of approximately 10 engineers.
• Two-step interview process consisting of a technical interview followed by a behavioral interview.
• Background check required prior to employment.
• Candidates must not have previously applied or been submitted for this opportunity.

Perks

• Opportunity to help shape a modern enterprise data platform.
• High-visibility role with strong technical ownership.
• Collaborative engineering culture with opportunities to mentor others.
• Exposure to modern technologies including Databricks, AWS, SQL, Python, and cloud data architecture.
• Long-term career growth with potential for permanent employment and bonus eligibility.