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Senior Analytics Engineer Jobs (NOW HIRING)

HyerTek

Sr. Analytics Engineer

Rockville, MD · On-site

$135K - $155K/yr

HyerTek is hiring a Sr. Analytics Engineer to design, build, and own the data and analytics layer that powers our federal solutions. You will model data, build the transformation and scoring logic ...

MX Technologies, Inc.

Senior Analytics Engineer

Lehi, UT · On-site

$98K - $134K/yr

Job Summary As a Senior Analytics Engineer within the Operational Analytics department, you'll play a key role in transforming complex, raw data into reliable and performant data products that power ...

Pantheon Systems, Inc

OR

$135K - $225K/yr

The Role Senior Analytics Engineer The Analytics Engineering team owns how Pantheon's data becomes trusted, self-serve insight - from the data models built on our raw source tables to the semantic ...

Weyerhaeuser Company

Senior Analytics Engineer

Seattle, WA · On-site

$118K - $163K/yr

We're hiring a Senior Analytics Engineer to design and build the data pipelines, semantic models, and analytical reports that bring that foundation to life - and to do it with a product mindset, so ...

Everpure

Senior Analytics Engineer, GTM

Santa Clara, CA · On-site

Everpure is fundamentally reshaping the data storage industry and is seeking a Senior Analytics Engineer to drive modernization initiatives. In this role, you will lead efforts in building scalable ...

Weyerhauser Co

Senior Analytics Engineer

Seattle, WA · On-site

$118K - $163K/yr

We're hiring a Senior Analytics Engineer to design and build the data pipelines, semantic models, and analytical reports that bring that foundation to life - and to do it with a product mindset, so ...

Totalwine

$122K - $165K/yr

About the Role Total Wine & More is seeking a Senior Analytics Engineer to join our growing Data Services team in our Bethesda, MD office This role will play a pivotal role in transforming raw data ...

ABCorp NA Inc.

Sr. Analytics Engineer

West Roxbury, MA · On-site

$110K - $140K/yr

The Role ABCorp is seeking a highly skilled Senior Analytics Engineer to own the data and analytics strategy for our secure payment card solutions and enterprise SaaS products. This role will serve ...

Feastables

Senior Analytics Engineer

Chicago, IL · On-site

$107K - $147K/yr

The Senior Analytics Engineer is responsible for building and maintaining the core data workflows that support demand planning, supply pacing, and business performance tracking. This role translates ...

Current

Senior Analytics Engineer

New York, NY · On-site

$170K - $220K/yr

SENIOR ANALYTICS ENGINEER Current is a leading U.S. fintech serving people who have been overlooked by traditional banks with nearly 6 million members. Headquartered in NYC, our results-driven ...

Pilot.com

Senior Analytics Engineer

San Francisco, CA · On-site

$123K - $169K/yr

As the Senior Analytics Engineer on this team, you'll own that foundation end-to-end. You'll architect the warehouse and the semantic layer, bring new data sources online as the business expands, and ...

Pilot.com

Senior Analytics Engineer

San Francisco, CA

$123K - $169K/yr

As the Senior Analytics Engineer on this team, you'll own that foundation end-to-end. You'll architect the warehouse and the semantic layer, bring new data sources online as the business expands, and ...

Rockstar Games

Senior Analytics Engineer

Andover, MA

Rockstar Games is on the lookout for a skilled Senior Analytics Engineer with strong software development skills who is passionate about games and big data. This is a full-time, in-office position ...

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Senior Analytics Engineer information

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$59.5K

$126.6K

$183.5K

How much do senior analytics engineer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for senior analytics engineer in the United States is $126,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,500.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior Analytics Engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills in data modeling, SQL, and tools like Python or Spark, and working in high-demand industries or companies. Compensation varies based on location, company size, and individual expertise, often including bonuses and stock options.

What is a Senior Analytics Engineer?

A Senior Analytics Engineer is a data professional who bridges the gap between data engineering and data analysis. They design, build, and maintain data pipelines, data models, and analytics infrastructure to ensure that data is reliable, accessible, and well-structured for analysis. Typically, they work with tools like SQL, dbt, and cloud data warehouses, collaborating closely with data analysts and business stakeholders to deliver actionable insights. Their role often involves optimizing data workflows, implementing best practices, and mentoring junior team members.

What does a senior analytics engineer do?

A senior analytics engineer designs, develops, and maintains data pipelines and analytics solutions to support business decision-making. They work with large datasets, use tools like SQL, Python, or cloud platforms, and often collaborate with data scientists and business teams to ensure data accuracy and accessibility.

How much do senior analytics engineers make?

Senior analytics engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often have expertise in data modeling, SQL, and analytics tools like Tableau or Looker, which can influence salary levels.

What is the difference between Senior Analytics Engineer vs Data Engineer?

AspectSenior Analytics EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, Analytics, or related; SQL, Python, data visualization skillsBachelor's/Master's in CS, Data Engineering, or related; SQL, Python, ETL tools skills
Work EnvironmentFocus on data analysis, reporting, and insights; collaborates with data teams and business unitsFocus on data pipeline development, infrastructure, and storage; works closely with data infrastructure teams
Employer & Industry UsageUsed across tech, finance, healthcare, and retail for analytics rolesCommon in tech, finance, and data-driven industries for building data systems

While both roles require strong SQL and Python skills, Senior Analytics Engineers primarily focus on analyzing data, creating reports, and deriving insights for business decisions. Data Engineers build and maintain the data infrastructure, pipelines, and storage systems. The roles often collaborate but serve different functions within data teams.

What are the key skills and qualifications needed to thrive as a Senior Analytics Engineer, and why are they important?

To thrive as a Senior Analytics Engineer, you need strong expertise in data modeling, SQL, data warehousing, and analytics, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools such as dbt, Python, cloud data platforms (like Snowflake or BigQuery), and experience with BI tools are commonly required, along with certifications in analytics or cloud technologies being a plus. Excellent problem-solving, communication, and stakeholder management skills help you translate business requirements into robust data solutions. These skills ensure data integrity, drive actionable insights, and support effective decision-making across the organization.

What engineer makes $500,000 a year?

Senior Analytics Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in data modeling, SQL, and cloud platforms, and roles in high-paying industries or companies. Such compensation often includes base salary, bonuses, and stock options, typically in senior or executive-level positions.

How does a Senior Analytics Engineer typically collaborate with data scientists and business stakeholders?

Senior Analytics Engineers play a vital role in bridging the gap between raw data and actionable insights. They work closely with data scientists to ensure that data pipelines and models are robust, scalable, and well-documented. Additionally, they frequently meet with business stakeholders to understand reporting needs and translate them into technical requirements, ensuring that analytics solutions align with organizational goals. This collaborative approach helps maintain data quality and accelerates the delivery of meaningful analyses across teams.
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Senior Analytics Engineer jobs near you
Sr. Analytics Engineer

Sr. Analytics Engineer

HyerTek

Rockville, MD • On-site

$135K - $155K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago

Job description

Job Type
Full-time
Description
HyerTek is a federal technology consulting firm delivering secure enterprise applications, data analytics, and modernization services to federal government agencies.
HyerTek is hiring a Sr. Analytics Engineer to design, build, and own the data and analytics layer that powers our federal solutions. You will model data, build the transformation and scoring logic that turns raw data into trusted metrics and assessments, and deliver the data contracts that reporting and visualization layers render against - partnering with developers, architects, and security teams to deliver secure, performant, well-architected analytics for government customers.
This is a hands-on, builder role. On the data-engineering side, you will own data modeling, pipelines, performance, and data quality. On the analytics side, you will build the scoring and derivation logic, the dimensional models, and the governed data products that downstream applications, BI tools, and dashboards depend on. You will work directly with developers, architects, and security engineers, embedded with delivery teams rather than sitting in a separate data organization. Your work will go to federal customers, and the correctness and durability of the data you model will directly shape their trust in HyerTek.
Location:
Candidate must be located in the Washington, DC, metro region.
Responsibilities:
  • Design and own relational and dimensional (star-schema) data models across development, test, and production tiers, treating the data model as a long-lived, versioned, peer-reviewed deliverable.
  • Build the transformation, scoring, and derivation logic that turns raw source data into trusted metrics, assessments, and analytics outputs.
  • Build and maintain ETL/ELT pipelines and the reference and configuration data behind them, with versioning and effective dating so results stay reproducible over time.
  • Implement point-in-time and slowly-changing-dimension attribution so historical data rolls up correctly rather than being overwritten by the current state.
  • Design and tune the analytical store and aggregation strategy for performance, keeping analytics workloads off the transactional systems.
  • Implement data access controls - row-level and role-based security - aligned to federal security requirements.
  • Define and maintain the data contracts and APIs that downstream visualization layers consume - native front ends, Power BI, Tableau, or other BI tools - so any of them can render against the same trusted source.
  • Partner with security engineers to apply data-protection, de-identification, and governed-release controls; remediate findings and support audit activities.
  • Collaborate with developers and architects to design well-architected data solutions, applying sound modeling and engineering principles.
  • Document data models, lineage, and as-built records suitable for customer handoff.
  • Support data quality monitoring, root cause analysis, and continuous improvement across managed environments.
  • Stay current on the Azure data and analytics ecosystem and bring relevant capabilities into delivery patterns.

Requirements
  • 5+ years of hands-on data and analytics engineering experience across data modeling, pipelines, and analytics delivery.
  • Expert SQL, with strong relational and dimensional data modeling.
  • Demonstrated experience building scoring, rules, or calculation logic over data - not just moving data from one place to another.
  • Production experience with a major relational database (Azure SQL or SQL Server), including performance tuning.
  • Proficiency in a backend language for the logic and service layer - C# / .NET preferred; strong Python considered.
  • Working knowledge of ETL/ELT, data versioning, and effective dating, slowly-changing dimensions, and data-access/security design.
  • Experience defining data contracts and APIs consumed by separate front-end, reporting, or BI teams.
  • Excellent troubleshooting, documentation, and stakeholder communication skills.
  • Comfort working independently across multiple concurrent engagements.
  • Hands-on experience with Microsoft data and analytics ecosystem tools, including Azure data services, Power Platform, Dataverse, and Microsoft Fabric.
  • Deep knowledge across data visualization and BI tools - Power BI, Tableau, or comparable - and the judgment to integrate whichever a customer environment requires.

Preferred Qualifications
  • Experience with Azure Government, GCC, or GCC High environments and the architectural constraints they impose.
  • Familiarity with DoD IL4/IL5 workloads or FedRAMP-aligned environments.
  • MLOps exposure - feature stores, model evaluation, and de-identified/governed data release.
  • Experience integrating with Microsoft 365, Power Platform, or Dynamics 365 from a data perspective.
  • Microsoft certifications: DP-203 (Azure Data Engineer), DP-600 (Fabric Analytics Engineer), PL-300 (Power BI Data Analyst), or DP-300 (Database Administrator).

HyerTek offers a comprehensive benefits package, including:
  • Medical, dental, and vision insurance
  • 401(k) with employer contribution
  • Paid time off (PTO) and company holidays
  • Flexible work arrangements
  • Professional development and certification support
  • Employee assistance program (EAP)
  • Life and disability insurance

Equal Opportunity Employer Statement
HyerTek is an Equal Opportunity Employer. We are committed to fostering a diverse and inclusive workplace and do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable laws.
Salary Description
$135,000 - $155,000

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