Data Engineer

We are seeking a Data Engineer to join our growing team. In this role, you’ll build robust and scalable data pipelines that support high-quality analytics and machine learning solutions for our clients. You’ll play a critical role in designing workflows that ingest, transform, clean, normalize, and augment data from various sources.

You should be comfortable working in cloud-based environments and have experience with structured and unstructured data. A strong command of SQL and Python is essential, along with practical experience using Pandas, Apache Spark, or similar data transformation frameworks.

Key Responsibilities:

• Design and build reliable, scalable data pipelines for ingestion, transformation, normalization, and augmentation
• Work with structured, semi-structured, and unstructured data across diverse environments
• Develop approaches to source data from diverse platforms (flat files, databases, APIs, streams, etc.)
• Develop data transformation workflows using tools such as Pandas and Apache Spark
• Collaborate with cross-functional teams to gather data requirements and translate them into actionable data models
• Perform data quality checks and implement validation logic to ensure reliable outputs
• Create basic visualizations to support validation, exploration, and stakeholder communication
• Optimize performance of pipelines in cloud and distributed computing environments

Required:

• 3+ years of hands-on experience with SQL and Python in data engineering or analytics roles
• Experience with data transformation tools/frameworks such as dbt, Pandas and Apache Spark
• Familiarity with cloud data platforms (e.g., Azure, AWS, Databricks)
• Solid understanding of ETL/ELT processes and pipeline orchestration
• Experience using version control systems like Git
• Strong communication and problem-solving skills
• Proactive in seeking opportunities to learn and grow skillset

Preferred:

• Experience with Databricks, including use of Delta Lake, Spark notebooks, and Unity Catalog in production environments
• Experience with modern Data and ML workflow tools (e.g., Airflow, MLflow)
• Familiarity with data visualization libraries or tools (e.g., matplotlib, Power BI, Tableau)
• Understanding of best practices in data modeling, data quality, and pipeline monitoring
• Prior experience in a consulting or client-facing role

Est. Salary Range (Colorado Only): $120,000-$140,000*

*Disclaimer: In accordance with Colorado’s Equal Pay for Equal Work Act, effective January 1, 2021, a good faith hourly or base salary range must be posted for all positions where the work may be performed in the state of Colorado. Therefore, this good faith salary range will only apply where this described position will be performed in the state, and should not be considered the compensation range in other locations or for other positions.

DevIQ Benefits Include:

• Competitive financial compensation and utilization bonus plans
• Medical, Dental, Vision Insurance
• 401k, With 4% Matching
• Paid Time Off
• Health Savings Account (HSA)/Flexible Spending Account (FSA)
• Short-Term/Long-Term Disability Insurance
• Business funded Life Insurance Plan
• Dynamic yet relaxed work atmosphere
• Wide Variety of Growth Opportunities