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Non Exempt Databricks Data Engineer Jobs in Colorado

Quality mindset: you treat quality as a non-negotiable part of your software deliverables ... Experience or knowledge of data processing platforms such as Databricks or Snowflake. * An A-player ...

Data Engineer, Senior

Denver, CO · On-site +1

$140K - $170K/yr

Hands-on experience with modern data stack tools such as dbt, Snowflake, Databricks, Airflow, or ... Excellent communication skills, with the ability to translate technical solutions for non-technical ...

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Knowledge of big data technologies such as Spark and Databricks; familiarity with TensorFlow and ...

Software Engineer II, Data Engineer

Denver, CO · On-site

$117K - $141K/yr

... non-technical stakeholders. • Global Collaboration: Work closely with product managers, data ... Databricks and orchestration tools like Apache Airflow. • Experience building, maintaining, and ...

AI Engineer

Denver, CO · On-site

$110K - $150K/yr

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Knowledge of big data technologies such as Spark and Databricks; familiarity with TensorFlow and ...

Expertise in Databricks, Spark, and Delta Lake orchestration to manage large-scale, high-velocity data environments * A strong foundation in DevOps methodologies, specifically regarding ...

Senior Data Engineer

Denver, CO

$109K - $148K/yr

Proactively leverage AI tools (e.g., Claude, Databricks Genie) to accelerate development, maintain code quality, and explore new approaches to data engineering problems * Cross-team Collaboration:

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Senior Data Engineer

Denver, CO · On-site

$160K - $200K/yr

Experience with ETL and data warehousing like Databricks, Snowflake, or equivalent. * Container ... Engineer to join us as we work to shape the way businesses perceive and navigate global risks. To ...

Principal Data Engineer

Boulder, CO · On-site

$140K - $187K/yr

Python, Pyspark, Kafka, Databricks, AWS What you'll be doing: Data Platform & Architecture * Own ... Establish and champion AI engineering practices across the team, from prompt engineering and RAG ...

Principal Data Engineer

Boulder, CO

$140K - $187K/yr

Python, Pyspark, Kafka, Databricks, AWS What you'll be doing: Data Platform & Architecture * Own ... Establish and champion AI engineering practices across the team, from prompt engineering and RAG ...

Experience with ETL and data warehousing like Databricks, Snowflake, or equivalent. * Container ... Engineer to join us as we work to shape the way businesses perceive and navigate global risks. To ...

Showing results 41-60

Non Exempt Databricks Data Engineer information

What is the difference between Non Exempt Databricks Data Engineer vs Non Exempt Data Analyst?

AspectNon Exempt Databricks Data EngineerNon Exempt Data Analyst
CertificationsDatabricks certifications, SQL, cloud platform skillsExcel, SQL, data visualization tools
Work EnvironmentCloud-based data platforms, big data environmentsBusiness intelligence tools, spreadsheets, reports
Employer & IndustryTech, finance, healthcare using big data solutionsMarketing, retail, finance analyzing data trends

Non Exempt Databricks Data Engineers focus on building and maintaining data pipelines using Databricks and cloud platforms, often working with big data. Non Exempt Data Analysts interpret data to generate reports and insights. While both roles require SQL skills, Data Engineers need cloud and big data expertise, whereas Data Analysts focus on data visualization and reporting.

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What cities in Colorado are hiring for Non Exempt Databricks Data Engineer jobs? Cities in Colorado with the most Non Exempt Databricks Data Engineer job openings:

Staff Data Engineer

Checkr

Denver, CO • On-site

Other

Posted 29 days ago


Job description

As a Staff Data Engineer on the People Data team, you'll help build and evolve the centralized platform that powers every Checkr product. This platform stores and serves the identity and people records that underpin Checkr's Workforce, Mortgage, Tenant, Trust, and Personal products, making it foundational to the company's AI-powered verification platform and every high-stakes decision our customers make.

In this role, you'll own the core services, data pipelines, and architecture that keep this platform scalable, reliable, and ready for the next generation of Checkr products. You'll solve complex distributed systems and data engineering challenges while influencing the technical direction of one of the company's most critical platforms.

What you'll do
  • Architect, design, lead, and build an end-to-end, performant, reliable, scalable data platform.
  • Work as an independent contributor: solve problems and deliver high-quality solutions with minimal oversight and strong ownership.
  • Mentor and guide junior engineers to deliver complex, next-generation features.
  • Bring a customer-centric, product-oriented mindset.  Collaborate with customers and internal stakeholders to resolve product ambiguities and ship features that solve real customer problems.
  • Partner with engineering, product, design, and other stakeholders to design and architect new features.
  • Experimentation mindset: autonomy and empowerment to validate a customer need, get team buy-in, and ship a rapid MVP.
  • Quality mindset: you treat quality as a non-negotiable part of your software deliverables.
  • Analytical mindset: instrument and deploy new product experiments with a data-driven approach.
  • Monitor, triage, and resolve production issues for the team's services.
  • Create and maintain data pipelines and foundational datasets to support product and business needs.
What you bring
  • 10+ years designing, implementing, and delivering highly scalable, performant data platforms.
  • Experience building large-scale data processing pipelines using ETL/ELT, batch, and stream processing.
  • Expert-level proficiency in PySpark, Python, and SQL.
  • Expertise in data modeling, relational databases, and NoSQL data stores (e.g., MongoDB).
  • Experience with big data technologies such as Kafka, Spark, Iceberg, data lakes, and the AWS stack (EKS, EMR, Serverless, Glue, Athena, S3, etc.).
  • Knowledge of security best practices and data privacy concerns.
  • Strong problem-solving skills and attention to detail.
  • Nice to have: Experience or knowledge of data processing platforms such as Databricks or Snowflake.
  • An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes.

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