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Financial Analytics Engineer Jobs in Texas (NOW HIRING)

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 ...

Analytics Engineer

Fort Worth, TX ยท 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 ...

$150K - $170K/yr

We are looking for an Analytics Engineer to join our team supporting our external data products. In ... Experience working with asset managers, business owners, or financial services data sets is a plus.

Analytics Engineer

Houston, TX ยท On-site

$99K - $118K/yr

The Analytics Engineer will own the layer between raw data and finished reporting, combining SQL ... Finance, Operations, and other functions to build accurate, well-documented data models, support ...

We are looking for a Staff Analytics Engineer to join our team supporting our external data ... Experience working with asset managers, business owners, or financial services data sets is a plus.

Data Analytics Engineer

Crystal City, TX

$99K - $119K/yr

Data Analytics Engineer ID: 1000000059 Location: Crystal City, VA Clearance Level: Obtain Public ... Our philosophy is simple - empower our employees with the benefits, resources and the financial ...

Senior Analytics Engineer

Fort Worth, TX ยท On-site

$100K - $137K/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 ...

Senior Analytics Engineer

Austin, TX ยท 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 ...

Senior Analytics Engineer

Dallas, TX ยท 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 ...

Data Analytics Engineer

Houston, TX ยท On-site

$130K - $140K/yr

Data Analytics Engineer Location: Houston TX (4 days in office) Type: Full Time This role is a ... Finance, Operations, and other functions who depend on accurate, well-modeled data. This is a great ...

Data Engineer

Dallas, TX ยท 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 ...

Senior Analytics Engineer

Southlake, TX ยท 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 ...

Senior Analytics Engineer

Dallas, TX ยท 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 ...

Analytics Engineer

Austin, TX ยท On-site

$101K - $133K/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 ...

Analytics Engineer

Austin, TX ยท On-site

$101K - $133K/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 ...

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Financial Analytics Engineer information

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.

What cities in Texas are hiring for Financial Analytics Engineer jobs?

Cities in Texas with the most Financial Analytics Engineer job openings:

Infographic showing various Financial Analytics Engineer job openings in Texas 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.

Analytics Engineer

Dallas, TX โ€ข On-site

BlueSky Resource Solutions
Recruiting and Staffing Servicesย โ€ขย 51 - 200 employees

Other

Posted 21 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
  • Bachelorโ€™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