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Contract Databricks Developer Jobs in Colorado (NOW HIRING)

Data Engineer, Consultant

Denver, CO · On-site +1

$140K - $160K/yr

Duration: 6-month contract-to-hire * Location: Hybrid or Remote, however must reside in the ... Extensive experience with modern data platforms including Snowflake and Databricks, and ...

Senior Data Engineer

Colorado Springs, CO

$104K - $141K/yr

Implement the canonical data model, schemas, and data contracts defined by the Data Architect ... Lakehouse platforms (Databricks, Snowflake) or open table formats (Iceberg, Delta, Hudi); feature ...

Senior R&D Software Engineer, Fivetran AI

Denver, CO · On-site

$126K - $166K/yr

... contracts, and auditable history baked in from the start. * Embraces Open Standards - help build ... Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar) * Genuine ...

AI Business Partner

Englewood, CO · On-site

$96K - $137K/yr

This role addresses legal workflow bottlenecks, contract review stalls, and gaps in executive ... Deep AI literacy in prompt engineering, LLM behaviors, and generative AI platforms to bridge ...

Senior R&D Software Engineer, Fivetran AI

Denver, CO · On-site

$126K - $166K/yr

... contracts, and auditable history baked in from the start. * Embraces Open Standards - help build ... Experience with SQL and data warehouses (BigQuery, Snowflake, Databricks, or similar) * Genuine ...

Showing results 21-40

Contract Databricks Developer information

What is a Contract Databricks Developer?

A Contract Databricks Developer is a data engineering professional hired on a temporary or project basis to develop, optimize, and maintain data pipelines and analytics solutions using the Databricks platform. They work with cloud data technologies, Spark, and big data frameworks to support organizations in managing large-scale data processing and analytics tasks. Their responsibilities often include building ETL workflows, collaborating with data scientists, and ensuring data quality and performance in data-driven projects.

What are some common challenges faced by Contract Databricks developers when starting a new project?

As a Contract Databricks Developer joining a new project, you may encounter challenges such as quickly understanding the existing data architecture, adapting to the client's specific workflow, and ensuring seamless integration with their cloud infrastructure (often Azure or AWS). You’ll also need to align with established data governance and security protocols while collaborating with data engineers, analysts, and business stakeholders. Effective communication and proactive documentation are key to overcoming these hurdles and delivering value efficiently within the contract period.

What is the difference between Contract Databricks Developer vs Data Engineer?

AspectContract Databricks DeveloperData Engineer
Primary FocusDeveloping and optimizing data pipelines using Databricks platformDesigning, building, and maintaining scalable data architectures
Skills & CertificationsProficiency in Spark, SQL, Python, Databricks platform, and cloud servicesKnowledge of ETL processes, SQL, Python, cloud platforms, and data modeling
Work EnvironmentProject-based, often remote, with a focus on Databricks environmentsVaries from in-house teams to consulting, working on large-scale data systems

While both roles require expertise in data processing and cloud platforms, a Contract Databricks Developer specializes in building data solutions specifically within the Databricks environment, whereas a Data Engineer has a broader scope in designing and managing overall data infrastructure across various tools and platforms.

What are the key skills and qualifications needed to thrive as a Contract Databricks Developer?

To excel as a Contract Databricks Developer, you need strong expertise in data engineering, big data analytics, and proficiency in programming languages like Python or Scala, typically backed by relevant experience or a degree in computer science. Familiarity with Databricks, Apache Spark, cloud platforms (such as Azure or AWS), and certifications like Databricks Certified Associate Developer are commonly required. Excellent problem-solving, adaptability, and communication skills help you collaborate with clients and teams to deliver tailored data solutions. These competencies are crucial for building scalable data pipelines and efficiently managing large datasets in dynamic project environments.
What are the most commonly searched types of Databricks Developer jobs in Colorado? The most popular types of Databricks Developer jobs in Colorado are:
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What job categories do people searching Contract Databricks Developer jobs in Colorado look for? The top searched job categories for Contract Databricks Developer jobs in Colorado are:
What cities in Colorado are hiring for Contract Databricks Developer jobs? Cities in Colorado with the most Contract Databricks Developer job openings:

Data Engineer - Telemetry & Analytics Pipeline

Entarian

Colorado Springs, CO • On-site

$105K - $130K/yr

Other

Re-posted 14 days ago


Job description

Overview/ Job Responsibilities

Position is contingent upon contract award and funding.

Entarian is seeking an experienced Data Engineer - Telemetry & Analytics Pipeline to be responsible for designing, building, and maintaining data pipelines that collect, process, and deliver telemetry data for analytics, monitoring, and security decisionmaking. This role ensures highquality, realtime data flow across cloud and onprem environments to support operational insights and Zero Trust architectures.

The ideal candidate will have demonstrated experience working in large-scale technical environments involving space systems, ground infrastructure, mission operations, communications networks, or enterprise IT capabilities.

Key Responsibilities may include, but not limited to:

  • Design and implement scalable telemetry ingestion pipelines across cloud, endpoint, network, and application sources.
  • Build realtime and batch processing work-flows using modern data engineering tools and technologies.
  • Develop data models, schemas, and metadata structures to support analytics, dashboards, and machine learning.
  • Optimize pipeline performance, reliability, observability, and data quality.
  • Integrate telemetry from identity systems, logging platforms, monitoring tools, and security technologies.
  • Create automation for ETL/ELT processes, data normalization, and event enrichment.
  • Collaborate with analytics, cloud, security, and platform engineering teams to define data requirements.
  • Ensure pipeline governance, compliance, retention, and secure data handling.
  • Troubleshoot ingestion issues, latency problems, schema drift, and data integrity concerns.
  • Document pipeline architecture, data flow diagrams, and operational procedures.

Salary range: $105,000.00 - $130,000.00

Minimum Qualifications
  • Active Secret security clearance
  • Bachelor's degree in information technology, computer science, engineering, or related technical discipline. (Equivalent experience may be considered.)
  • Minimum five (5) years of experience with a combination of:
    • Modern data engineering platforms (Azure Data Factory, AWS Glue, Databricks, Kafka, Spark, Flink, etc.).
    • Strong skills in building data ingestion and streaming pipelines.
    • Proficiency in Python, SQL, or similar languages.
    • Knowledge of data modeling, ETL/ELT patterns, and distributed systems.
    • Familiarity with telemetry sources (logs, metrics, events) and common security/monitoring tools.
    • Experience with cloud storage systems (S3, ADLS, GCS) and data warehouses/lakehouses.
    • Understanding of data governance, lineage, and quality frameworks.
  • Good technical communication skills
  • Proficiency with Microsoft Office Suite, including Word, Power-Point, Excel, Project, and Outlook.
  • Ability to travel approximately 25% to support customer locations, mission partner engagements, and operational activities. 
Desired Qualifications
  • Experience with observability stacks (Elastic, Splunk, Azure Monitor, Grafana, OpenTelemetry).
  • Exposure to analytics platforms or ML integration.
  • Infrastructureascode experience (Terraform, ARM/Bicep).
  • Experience with Zero Trust or securitycentric telemetry.
About Us

Formed through the strategic union of Sev1Tech and ERT, Entarian is a premier provider of mission-critical engineering and technology solutions. Founded on a legacy of excellence dating back to 1993, Entarian is a product of an evolved and fully diversified engineering and federal technology leader. From deep space to defense and civilian missions, Entarian delivers secure, mission-aligned digital solutions that drive national resilience and operational effectiveness. We don't just support modernization; we define it.

Join the Mission and Start your Career Journey: Apply Directly via our Careers Portal  Connect, Referrals & Inquiries? Email the team: careers@entarian.com

Entarian is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Employment Type: OTHER