Lead Data Engineer

Lead Data Engineer

Location: Remote
Duration: 6+ months
Compensation: $70.00 - 85.00/hr
Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.

We are looking for a Lead Data Engineer who excels in data modeling and can build end-to-end data solutions. The ideal candidate will bring strong leadership skills, with proven experience driving projects from initiation through successful completion.

• Design, develop, and maintain scalable data pipelines using Apache Spark on Databricks.
• Build and manage Delta Lake architectures for efficient data storage and retrieval.
• Implement robust ETL/ELT workflows using Databricks notebooks, SQL, and Python.
• Collaborate with AI/ML teams to operationalize models within the Databricks environment.
• Optimize data workflows for performance, reliability, and cost-efficiency in cloud platforms (AWS, Azure, or GCP).
• Ensure data quality, lineage, and governance using tools like Unity Catalog and MLflow.
• Develop CI/CD pipelines for data and ML workflows using Databricks Repos and Git integrations.
• Monitor and troubleshoot production data pipelines and model deployments.

• Strong hands‑on experience with Databricks, including Spark, Delta Lake, and MLflow.
• Proficiency in Python, SQL, and distributed data processing.
• Experience with cloud‑native data services (e.g., AWS Glue, Azure Data Factory, GCP Dataflow).
• Familiarity with machine learning lifecycle and integration of models into data pipelines.
• Understanding of data warehousing, data lakehouse architecture, and real‑time streaming (Kafka, Spark Structured Streaming).
• Experience with version control, CI/CD, and infrastructure‑as‑code tools.
• Excellent communication and collaboration skills.
• Certifications in Databricks (e.g., Databricks Certified Data Engineer Associate/Professional).
• Experience with feature engineering and feature stores in Databricks.
• Exposure to MLOps practices and tools.
• Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
• Leveraged Databricks for scalable AI and BI solutions, integrating well‑known large language models (Anthropic, LLaMA, Gemini) to enhance data‑driven insights. Developed agentic AI agents to automate complex decision‑making workflows.

• Databricks (Spark, Delta Lake, MLflow, Notebooks)
• Python & SQL
• Apache Spark (via Databricks)
• Delta Lake (for lakehouse architecture)
• Cloud Platforms:
  Azure, AWS, or GCP
• Cloud Storage: ADLS, S3, GCS
• Data Integration:
  Kafka or Event Hubs, Auto Loader (Databricks file ingestion)
• REST APIs
• AI/ML: MLflow (model tracking/deployment), Hugging Face Transformers, Lang Chain / Llama Index (LLM integration), LLMs (Anthropic Claude, Meta LLaMA, Google Gemini)
• Dev Ops:
  Git (Git Hub, Git Lab, Azure Repos), Databricks Repos, CI/CD (Git Hub Actions, Azure Dev Ops)
• Security & Governance:
  Unity Catalog, RBAC

• Comprehensive medical benefits
• Competitive pay
• 401(k) retirement plan
• ...and much more!

Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, projects, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities.

Learn more about us at

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

Mid‑Senior level

Contract

Information Technology

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