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Internship Financial Data Engineer Jobs in Colorado

Litera

Tech Lead, Data Engineer

Denver, CO · On-site

$140K - $180K/yr

Integrate data from third-party SaaS platforms such as CRM, product analytics, and finance systems ... Solid data engineering and software engineering fundamentals, including data modeling, version ...

Drive Capital

Senior Data/ML Engineer

Denver, CO · On-site

$120 - $150/hr

... and more reliable financial decisions through data and machine learning. We operate at the ... This role spans data engineering, ML engineering, and MLOps, with responsibility for building a ...

New

SRS Acquiom

Senior Data Engineer

Denver, CO

$145K - $160K/yr

By bringing efficiency, expertise, and purpose-built technology to complex financial transactions ... As a Senior Data Engineer on the Platform Team, you will be a part of driving the design ...

CEDENT

Senior Data Engineer (Denver, CO)

Denver, CO

$40 - $60/hr

Onsite in Denver, CO W2 only Senior Data Engineer Requirements: 8+ years experience with BI tools ... Collaboration & Communication Work closely with FinOps teams, finance stakeholders, and cloud ...

Cedent

Senior Data Engineer (Denver, CO)

Denver, CO · On-site

$40 - $60/hr

Location: Onsite in Denver, CO W2 only Senior Data Engineer Requirements: * 8+ years experience ... Work closely with FinOps teams, finance stakeholders, and cloud engineering teams. * Communicate ...

BillGO, Inc.

AI Data Scientist

Fort Collins, CO · On-site

$102K - $146K/yr

Data Engineering & Feature Design: Clean, transform, and model large, high-velocity financial datasets with attention to data integrity and compliance. * AI Product Integration: Collaborate with ...

Billgo,-Inc.-1

AI Data Scientist

Fort Collins, CO · On-site

$120 - $180/hr

Data Engineering & Feature Design: Clean, transform, and model large, high-velocity financial datasets with attention to data integrity and compliance.AI Product Integration: Collaborate with Product ...

New

BillGO, Inc.

AI Data Scientist

Fort Collins, CO

Data Engineering & Feature Design: Clean, transform, and model large, high-velocity financial datasets with attention to data integrity and compliance. * AI Product Integration: Collaborate with ...

Lorven technologies

Data Ops Informatica

Denver, CO · On-site

$70 - $80/hr

Cloud Engineer Position Objective: The Client seeking a highly specialized Senior Operations and ... Financial Stewardship: Configure cost-management features such as Informatica resource monitors ...

Lorven Technologies

Cloud Engineer

Denver, CO · On-site

$57.25 - $76.75/hr

Denver, CO - Hybrid Duration: 12 Months Contract Senior Operations & Data Engineer (Informatica ... Financial Stewardship: Configure cost-management features such as Informatica resource monitors ...

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All JobsFinancial Data Engineer JobsInternship Financial Data Engineer JobsInternship Financial Data Engineer Jobs in Colorado

Internship Financial Data Engineer information

What are the key skills and qualifications needed to thrive as an internship financial data engineer?

To thrive as an Internship Financial Data Engineer, you need a solid grasp of statistics, programming (especially Python or R), and foundational knowledge of finance or economics, typically supported by relevant coursework or a related degree. Familiarity with data visualization tools (like Tableau), SQL databases, and cloud platforms such as AWS or Azure is often expected. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex data and collaborate with teams. These abilities are crucial for transforming raw financial data into actionable insights and supporting data-driven decision-making in financial organizations.

What is the difference between Internship Financial Data Engineer vs Financial Data Analyst?

AspectInternship Financial Data EngineerFinancial Data Analyst
Required CredentialsCurrently pursuing or recently completed a degree in finance, data science, or related fields; some programming knowledgeBachelor's degree in finance, economics, or related fields; proficiency in data analysis tools
Work EnvironmentInternship setting, often in finance or tech companies, focusing on data pipeline developmentOffice environment, analyzing financial data, creating reports, and supporting decision-making
Employer & Industry UsageUsed by financial institutions, tech firms, and investment companies for data engineering tasksCommon in banks, investment firms, and corporate finance departments for data analysis

The main difference is that an Internship Financial Data Engineer focuses on building and maintaining data infrastructure during an internship, often involving programming and data pipeline work. In contrast, a Financial Data Analyst primarily interprets and reports on financial data to support business decisions. Both roles require a strong understanding of finance and data tools but differ in their core responsibilities and work environment.

What does an internship financial data engineer do?

An Internship Financial Data Engineer assists in building and maintaining data systems that support financial analysis and decision-making. They work with large datasets, help develop data pipelines, and ensure data quality and integrity for financial applications. Interns may use programming languages like Python or SQL, and tools such as databases and cloud platforms, to process and analyze financial data. Their work supports the broader data engineering team and helps improve the efficiency of financial data management within the organization.
What are the most commonly searched types of Financial Data Engineer jobs in Colorado? The most popular types of Financial Data Engineer jobs in Colorado are:
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What cities in Colorado are hiring for Internship Financial Data Engineer jobs? Cities in Colorado with the most Internship Financial Data Engineer job openings:
Internship Financial Data Engineer jobs near you

Tech Lead, Data Engineer

Litera

Denver, CO • On-site

$140K - $180K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 12 days ago

Job description

Job Description
Ready to Help Shape the Future of Legal Tech?!
At Litera, we don't just build software, we transform how the world's top law firms operate. Every day, we Raise The Bar™️ for what's possible through AI, innovation, and solutions that power millions of legal professionals worldwide. If you're energized by scale, real impact, and meaningful challenges, you'll feel right at home here.
Where You'll Work
This is a hybrid role based in Denver, Colorado with the expectations to be in office at least 3 days a week for collaboration and connection.
Why this Role Matters
We're looking for a Tech Lead, Data Engineer to help design, build, and operate a scalable analytics data platform that supports key business domains. This role focuses on developing high-quality data pipelines, a trusted Snowflake data warehouse, and well-modeled datasets that power analytics and decision-making across the organization.
You'll work closely with analytics, engineering, and business stakeholders while owning data solutions end-to-end - from design through production.
What You'll Deliver
  • Design, build, and maintain production-grade data pipelines and ELT workflows at scale.
  • Develop and own a Snowflake-based data warehouse using dbt best practices (models, tests, documentation, incremental strategies).
  • Partner with analytics and business stakeholders to translate requirements into well-modeled, reliable datasets.
  • Write and optimize complex SQL for large analytical datasets, ensuring performance and accuracy.
  • Apply strong software engineering practices to data work, including version control, testing, and CI/CD.
  • Integrate data from third-party SaaS platforms such as CRM, product analytics, and finance systems.
  • Produce clear technical documentation, including pipeline designs and data flow diagrams.
  • Take end-to-end ownership of data solutions, ensuring quality, performance, and long-term maintainability.

We're committed to creating an inclusive environment. If you need accommodations at any point in the process or in the role, we're here to support you.
What You'll Bring
Must-Haves:
  • 5+ years of experience designing, building, and operating production-grade data platforms, including scalable data pipelines and cloud data warehouses.
  • 2+ years of production experience using dbt to build scalable, well-tested data warehouse solutions.
  • Strong SQL expertise, including complex analytical queries, performance optimization, and working with large datasets.
  • Hands-on experience with Snowflake (or similar cloud data warehouses) in a production analytics environment.
  • Strong proficiency in Python (or another object-oriented language) applied to data engineering, including writing maintainable, tested code.
  • Solid data engineering and software engineering fundamentals, including data modeling, version control (Git), testing, documentation, and collaboration with cross-functional stakeholders.

Nice-To-Haves:
  • Advanced Snowflake expertise, including performance tuning, query profiling, and warehouse optimization.
  • Experience with dimensional and enterprise data modeling methodologies (e.g., Kimball, Inmon).
  • Experience owning analytics solutions for business domains such as Finance, Sales, or Marketing.
  • Advanced Python experience and/or multiple production dbt implementations with mature practices (testing, CI/CD, multi-environment deployments).

We know great candidates don't always check every box. If you're excited about this role, we encourage you to apply.
What You'll Experience
  • A team that shows up. Work alongside people who collaborate, support one another, and lead with integrity.
  • Global Reach. Partner with teams around the world to solve complex challenges that matter.
  • Real opportunity for growth. Expand your impact through meaningful stretch opportunities, visibility and career development.
  • AI-driven innovation. Work at the intersection of legal technology, customer outcomes, and cutting-edge AI.

Pay Transparency for Colorado Applicants
The base salary range for this role is $140,000 to $180,000. Final compensation will be determined based on experience, skills, education, and other relevant qualifications. This role is also eligible to participate in a company bonus plan.
In addition to base salary, Litera offers a comprehensive benefits package, including medical, dental, and vision coverage, a 401(k) with company match, and incentive and recognition programs. Benefits are subject to eligibility requirements.
#LI-Hybrid
Litera is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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