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Senior Analytics Engineer Jobs in Washington (NOW HIRING)

Sr. Analytics Engineer

Rockville, MD ยท 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 ...

Sr. Analytics Engineer

Rockville, MD ยท 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 ...

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 ...

Overview Join Avison Young's Data Architecture team as a Senior Analytics Engineer, where you will own and scale our analytics layer in Snowflake using dbt. This is a hands-on leadership role focused ...

Senior Data Analytics Engineer Category: Business Analysis (functional and technical) Main location: United States, Virginia, Reston Position ID:J0726-0947 Employment Type: Full Time U.S. - Finding ...

Senior Analytics/AI Engineer

Brookeville, MD ยท On-site

$135K - $155K/yr

HyerTek is hiring a Senior Analytics/AI Engineer to design, build, and own the data, analytics, and AI layer powering our secure federal solutions. You will model data, build the transformation and ...

New

As a senior member of the team, you won't just be writing SQL; you'll be defining our data architecture, working with data analysts and data engineers. How You'll Contribute: * Data Modeling: Design ...

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Senior Analytics Engineer information

See Washington salary details

$67.4K

$143.3K

$207.8K

How much do senior analytics engineer jobs pay per year?

As of Jul 18, 2026, the average yearly pay for senior analytics engineer in Washington is $143,338.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,400.00 and $162,500.00 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.
What are the most commonly searched types of Analytics Engineer jobs in Washington? The most popular types of Analytics Engineer jobs in Washington are:
What job categories do people searching Senior Analytics Engineer jobs in Washington look for? The top searched job categories for Senior Analytics Engineer jobs in Washington are:
What cities in Washington are hiring for Senior Analytics Engineer jobs? Cities in Washington with the most Senior Analytics Engineer job openings:
Senior Analytics Engineer

Senior Analytics Engineer

GliaCell Technologies

Annapolis Junction, MD โ€ข On-site

$106K - $146K/yr

Full-time

Posted 8 days ago


Job description

Job Summary:
GliaCell Technologies is a company focused on Software & System Engineering in Enterprise and Cyber Security solution spaces. They are seeking a Senior Analytics Engineer to provide technical expertise in sustaining critical mission-related software and systems for a U.S. Government customer.
Responsibilities:
โ€ข Developing and maintaining high-performance analytic solutions that process heavy volumes of data.
Qualifications:
Required:
โ€ข An active or rein-statable TS/SCI with Polygraph security clearance.
โ€ข U.S. Citizenship.
โ€ข 14+ years Software Engineering experience and a BS degree in Computer Science or related.
โ€ข Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelorโ€™s degree.
โ€ข Works well independently as well as on a team.
โ€ข Strong communication skills.
โ€ข Spark and/or MapReduce and/or SQL/NOSQL and/or Pandas/Numpy/SciPy
Company:
GliaCell Technologies focuses on software engineering in the cloud and cybersecurity domains. Founded in 2014, the company is headquartered in Columbia, USA, with a team of 11-50 employees. The company is currently Early Stage.