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Azure Big Data Engineer Jobs in Colorado (NOW HIRING)

Data Strategy-Manager

Denver, CO · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP ... big data engineering tools - Proficiency in SQL and data visualization tools - Experience in ...

Data Engineer 2

Boulder, CO · On-site

$99K/yr

Overview We are seeking a full-time Data Engineer 2 at Garmin's U.S. headquarters in the Greater ... Develops scalable, extensible solution architectures leveraging contemporary big-data technologies ...

Data Conditioning Systems Engineer

Aurora, CO · On-site

$116K - $140K/yr

Experience with cloud data services (e.g., AWS Glue, Azure Data Factory) * Knowledge of data ... Understanding of big data platforms like Hadoop or Spark * Experience with data encryption and ...

AWS/Azure Architect

Denver, CO

$65.25 - $85.25/hr

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers ... Current AWS or Azure certifications are a plus. Working knowledge and experience with elastic cloud ...

You will work on big data using the latest technologies. Key Responsibilities: * Develop high ... data engineering * Knowledge of SQL, databases (MySQL / Redshift / Athena), Data modeling

Data Engineer

Denver, CO · On-site +1

$85K - $125K/yr

You will work on big data using the latest technologies. Key Responsibilities: * Develop high ... data engineering * Knowledge of SQL, databases (MySQL / Redshift / Athena), Data modeling

You will work on big data using the latest technologies. Key Responsibilities: * Develop high ... data engineering * Knowledge of SQL, databases (MySQL / Redshift / Athena), Data modeling

Data Engineer

Denver, CO · On-site

$85 - $125/hr

You will work on big data using the latest technologies. Key Responsibilities: Develop high volume ... engineering Knowledge of SQL, databases (MySQL / Redshift / Athena), Data modeling Workflow ...

You will work on big data using the latest technologies. Key Responsibilities: * Develop high ... data engineering * Knowledge of SQL, databases (MySQL / Redshift / Athena), Data modeling

You will work on big data using the latest technologies. Key Responsibilities: * Develop high ... data engineering * Knowledge of SQL, databases (MySQL / Redshift / Athena), Data modeling

You will work on big data using the latest technologies. Key Responsibilities: * Develop high ... data engineering * Knowledge of SQL, databases (MySQL / Redshift / Athena), Data modeling

Data Engineer - Denver, CO

Denver, CO · On-site

$117K - $141K/yr

The role involves working with Python, Cloud Data engineering, and ETL processes using tools such as Data Bricks, Snowflake, and Azure. Qualifications : Required : • Python • Cloud Data ...

Data Engineer

Boulder, CO · On-site

$120 - $190/hr

Cloud experience with Azure Databricks, AWS Databricks, or GCP Databricks * Familiarity with CI/CD, DevOps, and automation for Databricks workloads * 8-12+ years in data engineering or architecture ...

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP ... big data engineering - Designing advanced analytics solutions and AI/ML models - Supporting ...

Showing results 41-60

Azure Big Data Engineer information

What does an Azure Big data engineer do?

An Azure Big Data Engineer is responsible for designing, building, and managing big data solutions using Microsoft Azure cloud technologies. They focus on processing large volumes of data, creating data pipelines, and ensuring data is stored and analyzed efficiently. Their work often involves tools such as Azure Data Lake, Azure Databricks, Azure Synapse Analytics, and Azure Data Factory. Azure Big Data Engineers collaborate with data scientists, analysts, and other IT professionals to enable data-driven decision-making within organizations.

What are the key skills and qualifications needed to thrive as an Azure Big data engineer?

To thrive as an Azure Big Data Engineer, you need expertise in data engineering, cloud computing, and programming languages such as Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with Azure Data Services (like Azure Data Lake, Azure Synapse Analytics, and Azure Databricks), as well as certifications like Microsoft Certified: Azure Data Engineer Associate, is highly valuable. Strong analytical thinking, problem-solving, and communication skills help you collaborate effectively with cross-functional teams and translate business needs into technical solutions. These skills and qualities are essential for building scalable, reliable data pipelines that drive business insights and innovation in cloud environments.

What are some common challenges Azure big data engineers face when integrating multiple data sources?

Azure Big Data Engineers often encounter challenges such as ensuring data consistency and quality when integrating disparate data sources like on-premises databases, cloud storage, and third-party APIs. Handling varying data formats and latency issues can also complicate data pipelines. To overcome these challenges, engineers typically use Azure Data Factory for orchestration, implement robust data validation, and collaborate closely with data architects and business analysts to align on integration requirements.

How much do Azure Big Data Engineers make?

Azure Big Data Engineers typically earn between $90,000 and $150,000 annually, depending on experience, location, and certifications such as Azure Data Engineer Associate. Salaries tend to be higher in regions with a strong tech industry and for professionals with advanced skills in cloud services and data processing tools.

Is Azure Big Data Engineer in demand?

Azure Big Data Engineers are in high demand due to the increasing adoption of cloud-based data solutions and the need for expertise in tools like Azure Data Lake, Synapse Analytics, and Spark. Organizations seek professionals skilled in data pipeline development, cloud architecture, and big data processing to support analytics and AI initiatives.

What job categories do people searching Azure Big Data Engineer jobs in Colorado look for?

The top searched job categories for Azure Big Data Engineer jobs in Colorado are:

What cities in Colorado are hiring for Azure Big Data Engineer jobs?

Cities in Colorado with the most Azure Big Data Engineer job openings:

Data Scientist

Apogee Engineering, LLC

Colorado Springs, CO • On-site

$155K - $190K/yr

Full-time

Re-posted 26 days ago


Job description

Overview
Apogee is seeking a Data Scientist (DS) to support the U.S. Army Space and Missile Defense Command (USASMDC). This role applies data science, statistics, and automation to mission analytics, helping operational and intelligence teams process large, complex datasets and convert them into actionable insights in support of space and missile defense priorities.
The Data Scientist partners with analysts and technical stakeholders to identify high-value analytic problems, engineer and curate datasets, and develop reproducible pipelines and models to automate workflows and enrich mission data. Responsibilities include data exploration and feature engineering; building and evaluating statistical/ML approaches (as appropriate); developing scripts, tools, and dashboards to support analysis and reporting; and communicating results through clear documentation and briefings. The DS also supports data governance and quality efforts, ensures methods are transparent and repeatable, and transitions solutions into operational use in coordination with Government leads and mission users.
This is a full-time opportunity at Petterson Space Force Base (PSFB), CO.
****Contingent Upon Contract Award****
Responsibilities
  • Demonstrate experience and knowledge of computer science concepts, data architecture, intelligence practices, and managing data in a big-data environment.
  • Demonstrate expert knowledge of Python, and Jupyter Notebooks and/or Jupyter Labs.
  • Author cogent and logical scripts using Python and other applicable languages in a virtual environment using common Integrated Development Environments (IDE) such as VS Code, Spyder, PyScript, or Jupyter Notebooks.
  • Develop and use advanced software programs, algorithms, query techniques, models to solve complex intelligence problems, and automated processes to normalize, integrate, and evaluate data.
  • Debug existing and future Python code; refactor legacy code to ensure continued security, functionality, and compatibility.
  • Document and block-comment all code to ensure recoverability and error-checking, and enhance reading, checking, and maintaining code in accordance with common data science and coding standards, such as PEP-8 for Python,5 or using style-guide features embedded in common IDE applications, such as Spyder, VS Code, PyScript or others upon approval by the Government.
  • Collaborate across multi-discipline teams to ensure connectivity between various data sources and business problems.
  • Identify meaningful insights, interpret, and communicate findings, plus make recommendations to stakeholders.
  • Analyze requirements and evaluate technologies for data science capabilities including Natural Language Processing, Machine Learning, predictive modeling, statistical analysis, and hypothesis testing.
  • Maintain awareness of emerging analytics and big-data technologies.
  • Complete required course NSA NETA1400 (Technology Fundamentals for Analysis); recommended completion of any of the following NSA Courses: NETA2402/NETA2108 (Analysis II), RPTG2238, RPTG2235, RPTG3225, RPTG3222 (Basic Analytical Reporting) or equivalent curriculum.
  • Complete recommended certifications: Data Science Council of America (DASCA) certifications, such as Associate Big Data Engineer (ABDE), Associate Big Data Analyst (ABDA), and Senior Data Scientist (SDS); Google Data Analytics Professional Certificate; IBM Data Science Professional Certification.

Qualifications
Minimum Experience:
Citizenship: Must be a US citizen
Clearance: Must have and be able to maintain a Top Secret (TS) with Sensitive Compartmented Information (SCI) adjudication
Education: Bachelors Degree
Years of Experience: 7+ years experience in data science/analytics engineering/software development in big-data environments.
Additional Experience:
  • Expert Python skills; heavy use of Jupyter Notebooks/Labs and common IDEs (e.g., VS Code/Spyder).
  • Proven ability to build and sustain automated data workflows (ingest/normalize/integrate/enrich/evaluate) using algorithms, queries, and models.
  • Strong SDLC skills: debugging, refactoring legacy code, and maintaining secure/compatible codebases.
  • Code quality discipline: clear documentation/block comments and adherence to PEP-8 (or equivalent style enforcement).
  • Working knowledge of data architecture and ability to collaborate across multi-discipline teams to connect data sources to mission problems.
  • Ability to communicate findings and recommendations to stakeholders.
  • Experience applying/evaluating ML/NLP, predictive modeling, and statistical methods (hypothesis testing).
  • NSA NETA1400 (Technology Fundamentals for Analysis) completion, or Government-approved equivalent.

Preferred Qualifications:
Additional Experience:
  • NSA courses: NETA2402/NETA2108 and/or RPTG2238/2235/3225/3222 (or equivalent).
  • Certifications: DASCA (ABDE/ABDA/SDS), Google Data Analytics, and/or IBM Data Science.
  • Experience transitioning prototypes into reusable, analyst-ready tools/pipelines and tracking emerging big-data/analytics tech.

Additional Information
Location: Petterson Space Force Base (PSFB), CO
On-site
Travel: 10%
Pay Range
USD $155,000.00 - USD $190,000.00 /Yr.