Data Engineer

Overview

Remote
On Site
Hybrid
BASED ON EXPERIENCE
Contract - Independent
Contract - W2
Contract - 12+ mo(s)

Skills

Management
Data Storage
Extract
Transform
Load
ELT
Data Quality
Data Processing
Data Flow
Data Warehouse
Real-time
Version Control
Communication
Collaboration
Machine Learning Operations (ML Ops)
Computer Science
Data Engineering
Business Intelligence
Large Language Models (LLMs)
Decision-making
Workflow
Python
SQL
Apache Spark
Cloud Computing
Amazon Web Services
Google Cloud
Google Cloud Platform
Cloud Storage
Amazon S3
GCS
Data Integration
Apache Kafka
Streaming
Artificial Intelligence
Machine Learning (ML)
LangChain
LlamaIndex
Git
GitLab
Databricks
Continuous Integration
Continuous Delivery
GitHub
Microsoft Azure
DevOps
Unity
RBAC
SANS

Job Details

Title: Data Engineer
Location: Remote
Duration: 6+ months
Compensation: $60.00 - 65.00/hr
Work Requirements: , Holders or Authorized to Work in the U.S.

Data Engineer

Responsibilities

  • 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 Google Cloud Platform).
  • 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.

Key Responsibilities
  • 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, Google Cloud Platform 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.
Technology Stack
  • Databricks (Spark, Delta Lake, MLflow, Notebooks)
  • Python & SQL
  • Apache Spark (via Databricks)
  • Delta Lake (for lakehouse architecture)
  • Cloud Platforms
  • Azure, AWS, or Google Cloud Platform
  • Cloud Storage (ADLS, S3, GCS)
  • Data Integration
  • Kafka or Event Hubs (streaming)
  • Auto Loader (Databricks file ingestion)
  • REST APIs
  • AI/ML
  • MLflow (model tracking/deployment)
  • Hugging Face Transformers
  • LangChain / LlamaIndex (LLM integration)
  • LLMs: Anthropic Claude, Meta LLaMA, Google Gemini
  • DevOps
  • Git (GitHub, GitLab, Azure Repos)
  • Databricks Repos
  • CI/CD: GitHub Actions, Azure DevOps
  • Security & Governance
  • Unity Catalog
  • RBAC
Our benefits package includes:
  • Comprehensive medical benefits
  • Competitive pay
  • 401(k) retirement plan
  • ...and much more!

About INSPYR Solutions
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, project, 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 inspyrsolutions.com.

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About INSPYR Solutions