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Contract Databricks Developer Jobs in Colorado (NOW HIRING)

Eliassen Group

Senior Data Engineer

Almont, CO · On-site

$75 - $85/hr

Databricks experience is preferred but is not a substitute for required VaultSpeed expertise. This ... Applicants must be willing and able to work on a w2 basis and convert to FTE following contract ...

GEI Consultants

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution ... Experience with Databricks, including Delta Lake and Unity Catalog, is a plus. * Prior experience ...

GEI Consultants

Data Engineer

Denver, CO

$90K - $150K/yr

Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution ... Experience with Databricks, including Delta Lake and Unity Catalog, is a plus. * Prior experience ...

Ibotta

Data Engineer

Denver, CO

$117K - $141K/yr

You'll work on the data contract and metadata standards that underpin everything the squad builds ... Proactively leverage AI tools (e.g., Claude, Databricks Genie) to accelerate development, maintain ...

Ibotta, Inc

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

You'll work on the data contract and metadata standards that underpin everything the squad builds ... Proactively leverage AI tools (e.g., Claude, Databricks Genie) to accelerate development, maintain ...

Ibotta

Senior Data Engineer

Denver, CO

$109K - $148K/yr

You'll work on the data contract and metadata standards that underpin everything the squad builds ... Proactively leverage AI tools (e.g., Claude, Databricks Genie) to accelerate development, maintain ...

Releady

Data Engineer, Principal

Denver, CO · On-site +1

$170K - $190K/yr

Duration: 6-month contract-to-hire * Location: Hybrid or Remote, however must reside in the ... Champion and apply DevOps and DataOps best practices, including CI/CD, automated testing ...

Eliassen Group

Senior Data Platform Engineer

Almont, CO · On-site

$70 - $75/hr

This is a contract to hire opportunity. Applicants must be willing and able to work on a w2 basis ... Participate in evaluation and potential adoption of Databricks and modern data-platform ...

Releady

Data Engineer, Senior

Denver, CO · On-site +1

$140K - $170K/yr

Duration: 6-month contract-to-hire * Location: Hybrid or Remote, however must reside in the ... Hands-on experience with modern data stack tools such as dbt, Snowflake, Databricks, Airflow, or ...

Allegion

Lead Platform Data Engineer

Golden, CO · On-site

Architect cross-application data models and Data Contracts (OpenAPI/AsyncAPI) to standardize ... g., Snowflake, Databricks, or BigQuery). Mastery of SQL is non-negotiable. * Modern Languages:

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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 cities in Colorado are hiring for Contract Databricks Developer jobs? Cities in Colorado with the most Contract Databricks Developer job openings:
Contract Databricks Developer jobs near you

Senior Data Engineer

Eliassen Group

Almont, CO • On-site

$75 - $85/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 10 days ago

Job description

Description:
Remote
Our client is seeking a Senior Data Engineer with hands-on VaultSpeed experience to support and improve the enterprise data integration platform. The role focuses on developing, maintaining, troubleshooting, and optimizing data pipelines across VaultSpeed, Astronomer or Apache Airflow, and Azure Data Factory. The immediate priority is strengthening the current VaultSpeed implementation, improving pipeline reliability, and helping the team establish repeatable data-engineering standards. The role will also participate in evaluating and potentially transitioning portions of the data platform to Databricks. Databricks experience is preferred but is not a substitute for required VaultSpeed expertise.
This is a contract to hire opportunity. Applicants must be willing and able to work on a w2 basis and convert to FTE following contract duration. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $75.00 to $85.00/hr. w2
Responsibilities:
  • Own the technical implementation and ongoing support of VaultSpeed.
  • Configure and maintain source-system metadata within VaultSpeed.
  • Design and maintain Raw Vault, Business Vault, and downstream data models.
  • Develop and maintain Data Vault 2.0 hubs, links, satellites, reference structures, and historization patterns.
  • Configure VaultSpeed mappings, parameters, templates, releases, and generated code.
  • Review, troubleshoot, and optimize VaultSpeed-generated SQL and loading processes.
  • Manage VaultSpeed releases and promote generated data solutions across development, QA, UAT, and production environments.
  • Integrate VaultSpeed-generated workloads with Astronomer and Apache Airflow.
  • Develop, maintain, and troubleshoot Airflow DAGs, tasks, dependencies, schedules, retries, alerts, and deployment configurations.
  • Develop and support Azure Data Factory pipelines, linked services, datasets, triggers, integration runtimes, and parameterized workflows.
  • Design reliable batch, incremental, change-data-capture, and event-driven data pipelines.
  • Integrate data from ERP, CRM, manufacturing, finance, operational databases, APIs, files, and cloud services.
  • Monitor pipeline execution, investigate failures, perform root-cause analysis, and implement permanent corrective actions.
  • Implement data validation, reconciliation, observability, lineage, auditing, and data-quality controls.
  • Improve pipeline performance, recoverability, scalability, and operational supportability.
  • Establish reusable pipeline patterns, coding standards, documentation, and deployment practices.
  • Implement source control and CI/CD practices for VaultSpeed, Airflow, ADF, SQL, and related configuration.
  • Work with data architects, analysts, application teams, infrastructure, security, and business stakeholders.
  • Document source-to-target mappings, data lineage, transformation logic, operational procedures, and support runbooks.
  • Mentor other data engineers and transfer VaultSpeed knowledge to the internal team.
  • Participate in the technical evaluation and potential adoption of Databricks.

Experience Requirements:
  • Five or more years of professional data-engineering, data-integration, or data-warehouse development experience.
  • Demonstrated hands-on production experience with VaultSpeed.
  • Ability to independently configure, develop, deploy, troubleshoot, and support VaultSpeed solutions.
  • Strong understanding of Data Vault 2.0 concepts and implementation practices.
  • Experience building and maintaining enterprise ETL and ELT pipelines.
  • Strong experience with Astronomer or production Apache Airflow environments.
  • Experience developing Airflow DAGs using Python.
  • Strong experience with Azure Data Factory.
  • Advanced SQL development and troubleshooting skills.
  • Experience with relational databases and enterprise data warehouses.
  • Experience with incremental loading, change data capture, historization, late-arriving data, and data reconciliation.
  • Experience integrating databases, REST APIs, files, cloud storage, and enterprise applications.
  • Experience diagnosing pipeline failures and resolving data, code, configuration, infrastructure, and dependency issues.
  • Experience implementing pipeline monitoring, logging, alerting, retry, and recovery mechanisms.
  • Experience using Git-based source control and CI/CD deployment processes.
  • Strong technical documentation and communication skills.
  • Ability to work directly with business and technical teams to translate data requirements into maintainable solutions.
  • Preferred experience with Databricks, Spark or PySpark, Delta Lake, Lakehouse, Databricks Workflows or Lakeflow, Auto Loader, Unity Catalog, dbt, ADLS Gen2, Kafka, Terraform, Azure DevOps, Microsoft Purview, and supporting manufacturing, ERP, finance, supply-chain, or operational data.

Education Requirements:
Bachelor's degree in computer science, data engineering, information systems, software engineering, or a related discipline is preferred. Equivalent professional experience will be considered in place of a degree.
Recruitment Transparency Notice

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (, ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process.
Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.
W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:
When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.
Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.
If you have any indication of fraudulent activity, please contact .
About Eliassen Group:
Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.
Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.
Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!
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About Eliassen Group

Sourced by ZipRecruiter

Eliassen Group provides strategic consulting and talent solutions to drive our clients' innovation and business results. Our purpose is to positively impact the lives of our employees, clients, consultants, and the communities in which we operate. Leveraging over 30 years of success, our expertise in talent solutions, life sciences consulting, Agile consulting, cloud services, risk management, business optimization, and managed services enables us to partner with our clients to execute their business strategy and scale effectively. Headquartered in Reading, MA, and with offices from coast to coast, Eliassen Group offers local community presence and deep networks, as well as national reach.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

Reading, MA, US

Year founded

1989

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