Databricks Engineer (Remote - US) - job 2 of 2

This position is posted by Jobgether on behalf of PCS Retirement. We are currently looking for a Databricks Engineer in the United States.

This is an exciting opportunity for an experienced data professional to design and optimize high-impact data pipelines supporting analytics, compliance, and customer insights in the financial services industry. You'll work cross-functionally to drive integration between Salesforce and enterprise platforms, ensuring data quality and performance within a highly regulated environment. Ideal for someone who thrives in cloud-based, data-driven infrastructures, this role combines technical innovation with strategic collaboration and business alignment. It’s a remote role, offering flexibility with a strong emphasis on communication, documentation, and continuous improvement.

Accountabilities:

• Build and maintain scalable ETL/ELT pipelines using Databricks, Apache Spark, and Delta Lake.
• Integrate Salesforce data into enterprise systems to support 360° customer views and regulatory reporting.
• Collaborate with cross-departmental teams including compliance, analytics, and sales to deliver tailored data solutions.
• Ensure data governance, lineage, and integrity, aligning with regulatory standards like FINRA, GDPR, and SEC.
• Document data architectures, pipeline logic, and integration workflows with clarity and consistency.
• Optimize workflows for speed, cost-efficiency, and reliability in cloud environments.

• Minimum 5 years of experience in data engineering or a related field.
• Expertise in Databricks, Apache Spark, and Delta Lake.
• Proficiency in Python, SQL, and orchestration tools such as Airflow or Databricks Workflows.
• Solid knowledge of Salesforce APIs, data models, and integration tools.
• Experience in CI/CD implementation and DevOps best practices.
• Familiarity with financial services data standards and compliance (e.g., SOX, GDPR).
• Experience with BI tools like Tableau, Power BI, Sigma Computing, or Looker.
• Working knowledge of Unity Catalog, Alation, or similar data cataloging tools.
• Strong communication skills and the ability to collaborate across technical and non-technical teams.
• Prior exposure to cloud platforms like AWS, Azure, or GCP is preferred.

• Competitive salary range of $85,000 to $110,000 annually, based on experience and location.
• Comprehensive benefits package including medical, dental, vision, life, and disability insurance.
• 401(k) with company match.
• Paid time off, holidays, and additional wellness support.
• Fully remote work with high-speed internet requirements (50 Mbps minimum for individual use).
• An inclusive, diverse workplace that values equity, professional development, and flexibility.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

#LI-CL1