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Senior Data Analytics Engineer Jobs (NOW HIRING)

Job Summary We are seeking a Senior Data Analytics Engineer to design, build, and optimize analytics solutions that support business intelligence, reporting, and decision-making. The ideal candidate ...

Senior Data Analytics Engineer

Reston, VA ยท On-site

$140K - $150K/yr

We are looking for a Senior Data Analytics Engineer to help shape and scale modern data capabilities for a real estate and property organization in Reston, Virginia. This role focuses on designing ...

Senior Data Analytics Engineer

Reston, VA ยท On-site

$110K - $149K/yr

NVR, Inc. is seeking Senior Data Analytics Engineer (Microsoft Fabric) to work on site in Reston, VA NVR's technology teams thrive on providing multiple business lines with the tools and cutting-edge ...

Senior Data Analytics Engineer

OR ยท On-site +1

$130K - $175K/yr

We are seeking an innovative Senior Data Engineer to join our Startup AI and Data Analytics Business Unit. This role is a critical bridge, connecting technical engineering with business strategy.

We are seeking an innovative Senior Data Engineer to join our Startup AI and Data Analytics Business Unit. This role is a critical bridge, connecting technical engineering with business strategy.

Your Impact Axon seeking a well-versed Data Analytics Engineer with expertise in SQL Server Management Studio (SSMS), Power BI, and/or SSRS to support and enhance analytics for Axon software ...

Your Impact Axon seeking a well-versed Data Analytics Engineer with expertise in SQL Server Management Studio (SSMS), Power BI, and/or SSRS to support and enhance analytics for Axon software ...

Your Impact Axon seeking a well-versed Data Analytics Engineer with expertise in SQL Server Management Studio (SSMS), Power BI, and/or SSRS to support and enhance analytics for Axon software ...

Your Impact Axon seeking a well-versed Data Analytics Engineer with expertise in SQL Server Management Studio (SSMS), Power BI, and/or SSRS to support and enhance analytics for Axon software ...

Your Impact Axon seeking a well-versed Data Analytics Engineer with expertise in SQL Server Management Studio (SSMS), Power BI, and/or SSRS to support and enhance analytics for Axon software ...

Your Impact Axon seeking a well-versed Data Analytics Engineer with expertise in SQL Server Management Studio (SSMS), Power BI, and/or SSRS to support and enhance analytics for Axon software ...

Your Impact Axon seeking a well-versed Data Analytics Engineer with expertise in SQL Server Management Studio (SSMS), Power BI, and/or SSRS to support and enhance analytics for Axon software ...

Senior Data & Analytics Engineer

$108K - $147K/yr

As a Senior Data & Analytics Engineer , you'll own BizzyCar's data foundation and help shape how data drives decisions across the company. You'll lead execution across data initiatives, manage and ...

Your Impact Axon seeking a well-versed Data Analytics Engineer with expertise in SQL Server Management Studio (SSMS), Power BI, and/or SSRS to support and enhance analytics for Axon software ...

Your Impact Axon seeking a well-versed Data Analytics Engineer with expertise in SQL Server Management Studio (SSMS), Power BI, and/or SSRS to support and enhance analytics for Axon software ...

Your Impact Axon seeking a well-versed Data Analytics Engineer with expertise in SQL Server Management Studio (SSMS), Power BI, and/or SSRS to support and enhance analytics for Axon software ...

Your Impact Axon seeking a well-versed Data Analytics Engineer with expertise in SQL Server Management Studio (SSMS), Power BI, and/or SSRS to support and enhance analytics for Axon software ...

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Senior Data Analytics Engineer information

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$81K

$126.3K

$175K

How much do senior data analytics engineer jobs pay per year?

As of Jun 8, 2026, the average yearly pay for senior data analytics engineer in the United States is $126,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $144,000.00 per year, depending on experience, location, and employer.

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

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

How does a Senior Data Analytics Engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

What does a Senior Data Analytics Engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

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

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.
More about Senior Data Analytics Engineer jobs
What cities are hiring for Senior Data Analytics Engineer jobs? Cities with the most Senior Data Analytics Engineer job openings:
What are the most commonly searched types of Data Analytics Engineer jobs? The most popular types of Data Analytics Engineer jobs are:
What states have the most Senior Data Analytics Engineer jobs? States with the most job openings for Senior Data Analytics Engineer jobs include:
What job categories do people searching Senior Data Analytics Engineer jobs look for? The top searched job categories for Senior Data Analytics Engineer jobs are:
Infographic showing various Senior Data Analytics Engineer job openings in the United States as of May 2026, with employment types broken down into 79% Full Time, 13% Part Time, and 8% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $126,328 per year, or $60.7 per hour.

Senior Data Analytics Engineer

Hudson Manpower

Chicago, IL โ€ข On-site

$40 - $50/hr

Contractor

Posted 5 days ago


Job description

Job Summary
We are seeking a Senior Data Analytics Engineer to design, build, and optimize analytics solutions that support business intelligence, reporting, and decision-making. The ideal candidate will have strong expertise in SQL, Python, data modeling, BI tools, and modern analytics engineering practices.
Responsibilities
  • Design and maintain analytics solutions across raw and semantic data layers.
  • Partner with business stakeholders to translate business requirements into data models, dashboards, and actionable insights.
  • Build and optimize SQL and Python-based data pipelines for analytics platforms.
  • Establish and promote analytics standards, governance, and best practices.
  • Enable self-service analytics using BI and data preparation tools.
  • Document, test, validate, and monitor data quality to ensure trust in reporting.
  • Collaborate with analysts and support ad-hoc analytical initiatives.
  • Contribute to cloud-based analytics and data engineering solutions.
  • Support analytics related to financial risk, trading, and operational reporting where applicable.

Required Qualifications
  • Bachelor's or Master's degree in a quantitative field or equivalent experience.
  • 3+ years of experience in Data Analytics, Analytics Engineering, BI, Data Engineering, Risk Analytics, or Software Development.
  • Strong SQL skills with experience writing complex analytical queries.
  • Proficiency in Python for data processing and pipeline development.
  • Experience with Tableau and Alteryx or comparable BI/Data Preparation tools.
  • Experience with Git, code versioning, pull requests, and modern development workflows.
  • Exposure to dbt and workflow orchestration tools such as Airflow, Dagster, or Prefect.
  • Experience with cloud platforms such as AWS, Azure, Databricks, or Snowflake.
  • Strong understanding of data modeling concepts including 3NF and Star Schema.
  • Knowledge of statistics and analytical methodologies.
  • Strong communication and stakeholder management skills.

Preferred Qualifications
  • Experience in Financial Services, Trading, Clearing, Risk Management, or Capital Markets.
  • Experience supporting enterprise-scale analytics environments.