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Financial Analytics Engineer Jobs in Dallas, TX (NOW HIRING)

Apex Systems

Senior Analytics Engineer

Southlake, TX · On-site

Job#: 3044565 Senior Analytics Engineer (Remote in S outhlake, TX or Lone Tree, CO ) The Senior ... Experience in regulated industries such as financial services or wealth management. EEO Employer ...

The LaSalle Group

Analytics Engineer

Fort Worth, TX · On-site

$60 - $70/hr

Our client is seeking an experienced Analytics Engineer to join its growing Data & Analytics team ... With units specializing in Accounting and Finance, Administrative, Engineering, Marketing ...

Premier Truck Rental

Senior Analytics Engineer

Dallas, TX · On-site

$103K - $142K/yr

... Finance, Commercial, and Fleet/Ops. Performance & Optimization : Tune model and warehouse ... Mentor Analytics Engineer I / junior engineers, review their code, and set the modeling patterns ...

Brooksource

Data Engineer

Dallas, TX · On-site

$55 - $60/hr

We are unable to sponsor employment visas at this time Position Summary We are seeking an Analytics Engineer to help modernize and expand our client's enterprise analytics platform supporting Finance ...

Aquent

Senior Analytics Engineer

Southlake, TX · On-site +1

$78.03 - $86.67/hr

... financial services sector. This industry leader is dedicated to empowering individuals and ... Analytics Engineering Foundations * Strong knowledge of dimensional modeling, star-schema ...

Avison Young

Senior Analytics Engineer

Dallas, TX · On-site

$93K - $120K/yr

... financial and consulting services. We've designed our corporate structure to best serve our clients ... This role focuses on analytics engineering and data modeling, not traditional pipeline-heavy data ...

Workday

Analytics Engineer

Frisco, TX · On-site

$95K - $126K/yr

Partner with Partner Operations, Sales Operations, Finance, Enablement, and Partner Program teams ... About You You are an experienced analyst or analytics engineer who is genuinely happiest in the ...

US Bank

Infrastructure Data Analytics Engineer

Irving, TX

$109K - $132K/yr

Helping the customers and businesses we serve to make better and smarter financial decisions and ... The Infrastructure Data Analytics Engineer is responsible for acquiring, transforming, integrating ...

iHeartMedia, Inc.

Financial Analyst

Dallas, TX · On-site

... of programming that reflects the diversity of the many communities we serve - and our company ... Your primary focus will be to leverage data and analytics to help drive the financial success of ...

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Showing results 1-20

All JobsFinancial Analytics Engineer JobsFinancial Analytics Engineer Jobs in Dallas, TX

Financial Analytics Engineer information

See Dallas, TX salary details

$75.2K

$109.6K

$134.5K

How much do financial analytics engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for financial analytics engineer in Dallas, TX is $109,619.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,900.00 and $123,200.00 per year, depending on experience, location, and employer.

What is a financial analytics engineer?

A Financial Analytics Engineer is a professional who combines expertise in finance, data analysis, and engineering to develop systems that analyze financial data and generate actionable insights. They use programming, statistical methods, and machine learning to build financial models, automate data processing, and support decision-making for businesses. Their work often involves collaborating with finance teams, data scientists, and IT professionals to create tools that improve financial planning, risk management, and reporting.

What are the key skills and qualifications needed to thrive as a financial analytics engineer?

To excel as a Financial Analytics Engineer, you need strong quantitative analysis skills, proficiency in financial modeling, and a background in finance, mathematics, or computer science. Expertise with programming languages like Python or R, experience with data visualization tools (such as Tableau or Power BI), and familiarity with financial databases are typically required. Critical thinking, attention to detail, and effective communication help professionals translate complex data into actionable financial insights. These skills ensure accurate analysis, drive informed business decisions, and enable collaboration with both technical and non-technical stakeholders.

How do financial analytics engineers typically collaborate with finance and data teams during a project?

Financial Analytics Engineers regularly work alongside finance professionals to understand business requirements and ensure analytics solutions address real financial challenges. They also collaborate with data engineers and data scientists to source, clean, and analyze financial data, often participating in cross-functional meetings to align on project goals and share progress. Effective communication and the ability to translate technical findings into actionable business insights are key to success in this collaborative environment. This multidisciplinary teamwork not only enriches project outcomes but also offers valuable opportunities for professional growth and knowledge sharing.

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

AspectFinancial Analytics EngineerData Analyst
Required CredentialsBachelor's in Finance, Data Science, or related fields; certifications like CFA or SQL proficiencyBachelor's in Statistics, Mathematics, or related fields; often SQL and Excel skills
Work EnvironmentFinance or banking firms, investment companies, fintechVarious industries including marketing, healthcare, retail, and finance
Employer & Industry UsageFinancial institutions, investment firms, fintech startupsBroad industry application, including finance, marketing, and consulting

Financial Analytics Engineers focus on developing financial models and analytics specific to finance sectors, often requiring finance-specific certifications. Data Analysts have a broader scope across industries, analyzing data to inform business decisions. Both roles require strong analytical skills, but their industry focus and tools may differ.

Do financial analytics engineers make good money?

Financial analytics engineers typically earn competitive salaries that vary based on experience, location, and industry. They often have strong skills in data analysis, programming, and financial modeling, which can lead to higher compensation levels compared to other analytics roles.

Is a financial analytics engineer a good career?

A financial analytics engineer is a specialized role that involves developing models and tools to analyze financial data, often requiring skills in programming, data analysis, and finance. It is considered a growing field with opportunities in finance, banking, and investment firms, and typically offers competitive salaries and career advancement potential.
Infographic showing various Financial Analytics Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $109,619 per year, or $52.7 per hour.

Analytics Engineer

Dallas, TX • On-site

BlueSky Resource Solutions
Recruiting and Staffing Services • 51 - 200 employees
Learn more about BlueSky Resource Solutionsexternal

Other

Posted 20 days ago

Job description

The is a hybrid opportunity with 4-days onsite in Dallas, TX, Atlanta, GA, or Ashburn, VA. Candidates MUST be local to the one of these locations. This role is not open to C2C, OPT, or any Visa consideration. No vendor support of any kind allowed.



JOB DESCRIPTION

Core Job Requirements

  • 5+ years of experience in analytics engineering, data engineering, or advanced business intelligence roles within a modern data stack environment
  • Advanced proficiency in SQL with demonstrated experience building performance, well-modeled analytical datasets
  • Hands-on experience with dbt for analytics-layer modeling, testing, and documentation
  • Experience working with cloud data warehouses, preferably Snowflake, including performance tuning and cost-aware design
  • Strong understanding of analytics engineering best practices, including:
  • -Star and snowflake schemas
  • -Incremental models
  • -Fact / dimension separation
  • -Medallion Architecture
  • Experience working in a CI/CD-driven analytics environment, including version control, code review, and deployment pipeline
  • Proven ability to partner closely with business stakeholders to translate requirements into trusted analytical asset
  • Bachelor’s degree in Analytics, Information Systems, Computer Science, Mathematics, Finance, or equivalent practical experience


Technical & Platform Skills

  • Advanced SQL and data modeling expertise
  • dbt (models, tests, macros, docs, exposures)
  • Snowflake (query optimization, warehouse usage patterns, role-based access awareness)
  • Experience integrating data from SaaS systems using ELT tools (e.g., Fivetran, Stitch, etc.)
  • Familiarity with metadata management, data quality checks, and analytical lineage


Professional & Communication Skills

  • Strong business acumen with the ability to frame data in commercial terms
  • Clear, concise communicator capable of working with:
  • -Sales leadership
  • -Data engineering and platform teams
  • -Ability to write clear, durable documentation for models, metrics, and assumptions
  • High attention to detail with a strong bias toward accuracy, consistency, and auditability
  • Comfortable operating in a federated enterprise environment with multiple upstream systems



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