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Internship Ibm Data Engineer Jobs in Colorado (NOW HIRING)

Data Engineer

Denver, CO · On-site

$120K - $160K/yr

QUALIFICATIONS: * 3+ years of experience, not including internships as a software engineer or a data engineer and a strong passion to learn. * BS/MS in Computer Science or equivalent experience in ...

Data Engineer

Denver, CO

$120K - $160K/yr

QUALIFICATIONS: * 3+ years of experience, not including internships as a software engineer or a data engineer and a strong passion to learn. * BS/MS in Computer Science or equivalent experience in ...

... Data Engineer (ABDE), Associate Big Data Analyst (ABDA), and Senior Data Scientist (SDS); Google Data Analytics Professional Certificate; IBM Data Science Professional Certification. Security ...

... Data Engineer (ABDE), Associate Big Data Analyst (ABDA), and Senior Data Scientist (SDS); Google Data Analytics Professional Certificate; IBM Data Science Professional Certification. Security ...

Senior Data Engineer

Denver, CO · On-site

$160K - $200K/yr

QUALIFICATIONS: * 3+ years of experience, not including internships as a software engineer or a data engineer and a strong passion to learn. * BS/MS in Computer Science or equivalent experience in ...

QUALIFICATIONS: * 3+ years of experience, not including internships as a software engineer or a data engineer and a strong passion to learn. * BS/MS in Computer Science or equivalent experience in ...

Data Modeler

Aurora, CO · On-site

$55.75 - $72.25/hr

You will work closely with data engineers, analysts, and other stakeholders to ensure data is ... Proficiency in data modeling tools (e.g., Erwin, IBM InfoSphere) * Strong SQL skills and knowledge ...

... lure engineers from their employers. We represent only high caliber technical professionals who have committed to making a change required by career. Expert knowledge on IBM PIM Data Model, Import ...

Data Modeler

Aurora, CO · On-site

$55.50 - $72/hr

... data engineers and analysts to ensure data accessibility across platforms. Responsibilities : • ... g., Erwin, IBM InfoSphere) • Strong SQL skills and knowledge of relational databases • ...

Data modelling, design & implementation based on recognized standards. * Performance monitoring and tuning. Technical Skills:- * Skills: IBM Cognos TM1 and IBM Cognos Disclosure Management * Hands-on ...

Skills: IBM Cognos TM1 and IBM Cognos Disclosure Management * * Hands-on development and ... Develop Turbo Integrator (TI) Processes to load and retrieve data from database tables and other ...

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Internship Ibm Data Engineer information

What is the difference between Internship Ibm Data Engineer vs Data Analyst Intern?

AspectInternship Ibm Data EngineerData Analyst Intern
Required CredentialsBasic programming, SQL, data managementStatistical knowledge, Excel, SQL
Work EnvironmentTechnical teams, data infrastructure projectsBusiness units, reporting and visualization tasks
Employer & Industry UsageTech companies, data-driven rolesVarious industries, business analysis

Internship Ibm Data Engineer roles focus on building and maintaining data pipelines, requiring technical skills like programming and data management. Data Analyst Internships emphasize analyzing data to generate insights, often involving statistical tools and reporting. Both internships provide valuable industry experience but differ in technical depth and focus areas.

What job categories do people searching Internship Ibm Data Engineer jobs in Colorado look for? The top searched job categories for Internship Ibm Data Engineer jobs in Colorado are:

$155K - $190K/yr

Full-time

Re-posted 3 hours ago


Job description

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****


  • 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.

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%


USD $155,000.00 - USD $190,000.00 /Yr.