Databricks Data Engineer

Remote Contract (7 months 25 days) Published 17 hours ago AWS certifications data governance aws cloud data modeling performance optimization pyspark Troubleshooting & Debugging SQL DevOps & CI/CD ETL/ELT pipelines We are seeking a Databricks Engineer to lead the design and implementation of a scalable Sales Data Platform as part of the OneData initiative on Databricks running on AWS. The role is hands-on and architecture-driven, focused on data ingestion, transformation, modeling, and optimization using modern lakehouse patterns. The architect will work closely with data engineers, source system teams, and downstream consumers to deliver high-quality, governed, and performance-optimized sales datasets. Key Responsibilities: Architecture & Design: Define end-to-end lakehouse architecture on Databricks (AWS) for Sales data domains Design medallion architecture (Bronze / Silver / Gold) aligned with OneData standards Establish data modeling standards for Sales facts, dimensions, hierarchies, and aggregations Define scalable ingestion patterns for batch and incremental loads Drive performance, scalability, and cost optimization best practices Data Engineering & Implementation: Build and guide development of PySpark-based data pipelines in Databricks Implement Delta Lake features: ACID transactions Schema evolution & enforcement Time travel & versioning Design and optimize large-scale joins, aggregations, and window functions Implement CDC and incremental processing using watermarking and change detection Ensure idempotent, restartable, and fault-tolerant pipelines AWS & Platform Integration: Architect solutions using AWS services: Amazon S3 (data lake storage) IAM (security & access control) AWS Glue / Glue Catalog CloudWatch (monitoring & logging) Optimize Databricks cluster configurations (job vs all-purpose clusters) Implement secrets management and secure connectivity patterns Data Quality, Governance & Reliability: Define and implement data quality checks and validations Ensure data lineage and metadata capture Implement error handling, auditing, and reconciliation frameworks Support data governance and access control requirements DevOps & Operational Excellence: Implement CI/CD pipelines for Databricks notebooks and jobs Enforce code versioning, reviews, and deployment standards Design monitoring, alerting, and SLA tracking for pipelines Support production stabilization and performance tuning Collaboration & Leadership: Act as technical lead / mentor for Databricks data engineers Collaborate with: Source system teams (Sales, CRM, ERP) Data consumers (analytics, downstream apps) Cloud/platform teams Translate business requirements into robust technical designs Required Skills & Experience: Core Technical Skills: 8+ years in Data Engineering / Data Architecture roles 4+ years hands-on experience with Databricks Strong expertise in PySpark & Spark SQL Strong expertise in dbt Deep experience with Delta Lake Strong knowledge of AWS cloud services (S3, IAM, Glue, CloudWatch) Data Engineering Expertise: Sales data domain experience (orders, revenue, pricing, customers, products) Strong understanding of: Fact & dimension modeling Slowly Changing Dimensions (SCD Type 1 / 2) Large-scale data processing patterns Experience handling high-volume, high-velocity datasets Platform & Operational Skills: Databricks job orchestration and scheduling Cluster sizing and performance tuning CI/CD for data platforms Strong troubleshooting and debugging skills Nice-to-Have: Experience with enterprise OneData / Data Mesh programs Exposure to real-time or near-real-time ingestion patterns Experience integrating CRM / Sales systems (e.g., Salesforce, SAP Sales data) AWS certifications or Databricks certifications The pay range that the employer in good faith reasonably expects to pay for this position is $60.10/hour - $93.90/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis. Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.