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Senior Data Analytics Engineer Jobs (NOW HIRING)

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 ...

Sr Data Analytics Engineer

Apodaca, NM

$113K - $136K/yr

Senior Data Analytics Engineer Are you looking for an opportunity to combine data engineering and analytics in a role that drives real business impact? Would you like to join a global organization ...

Sr. Data Analytics Engineer

$108K - $147K/yr

FableticsOS is looking for a Senior Data Analytics Engineer to strengthen the data foundations of our Global Supply Chain and Merchandise Planning domains. You will model and build the data that ...

Sr. Data Analytics Engineer

Baltimore, MD · On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high-quality data models, and enable automation that supports advanced analytics and AI use cases. You will ...

Sr. Data Analytics Engineer

Baltimore, MD · On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high-quality data models, and enable automation that supports advanced analytics and AI use cases. You will ...

Sr. Data Analytics Engineer

OR · On-site +1

$107K - $128K/yr

Work closely with Enterprise Data Analysts, Data Platform Engineers, Data Governance Team within ... Project Lead, Senior Software Engineer, Software Engineer, etc.). * 2 years of experience ...

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Implement and test end-to-end data solutions under the guidance of senior engineers * Follow established practices to ensure sensitive data is protected and handled appropriately Analytics Enablement ...

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 ...

Data & Analytics Engineer

Milwaukee, WI · Hybrid

$112K - $135K/yr

Implement and test end-to-end data solutions under the guidance of senior engineers * Follow established practices to ensure sensitive data is protected and handled appropriately Analytics Enablement ...

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 ...

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Implement and test end-to-end data solutions under the guidance of senior engineers * Follow established practices to ensure sensitive data is protected and handled appropriately Analytics Enablement ...

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 ...

Description If you are passionate about data analytics engineering and want an opportunity to work with the latest technologies, then Modeling Data Solutions has the position for you. Modeling Data ...

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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 Jul 19, 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:
Infographic showing various Senior Data Analytics Engineer job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $126,328 per year, or $60.7 per hour.
Senior Data Analytics Engineer

Senior Data Analytics Engineer

CGI Inc.

Reston, VA • On-site

Full-time

Retirement, PTO

Posted 10 days ago


CGI rating

7.1

Company rating: 7.1 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

134th of 210 rated it services


Job description

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 purpose at CGI
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Position Description:
CGI is seeking a Senior Data Analytics Engineer to support the delivery of enterprise data analytics and GenAI enabled reporting solutions within a highly regulated financial services environment. This role combines business focused user acceptance testing with data validation, analytics, API testing, and production readiness activities to ensure high quality data products before deployment.
We partner with 15 of the top 20 banks globally, and our top 10 banking clients have worked with us for an average of 26 years!.
This role is located at a client site in either Reston, VA. A hybrid working model is acceptable.
Your future duties and responsibilities:
CGI is seeking a Senior Data Analytics Engineer to support the delivery of enterprise data analytics and GenAI enabled reporting solutions within a highly regulated financial services environment. This role combines business focused user acceptance testing with data validation, analytics, API testing, and production readiness activities to ensure high-quality data products before deployment.
The ideal candidate will collaborate closely with developers, product owners, business stakeholders, QA teams, and analytics professionals to validate business requirements, data pipelines, reports, APIs, and GenAI generated outputs. Responsibilities include executing end to end UAT, performing SQL and API validation, verifying JSON data structures, supporting AWS based analytics platforms, and ensuring data accuracy across reporting solutions. The role also includes user onboarding, documentation, knowledge transfer, and ongoing production support to help drive successful adoption of data driven solutions.
Required qualifications to be successful in this role:
. 5+ years of experience in data analytics, software development, data engineering, production support, monitoring, visualization, and business enablement.
. Strong experience performing Business User Acceptance Testing (UAT), including test planning, execution, defect management, regression testing, and production readiness.
. Advanced SQL skills with the ability to validate complex datasets, perform source to target reconciliation, and troubleshoot data quality issues.
. Hands on experience working with AWS based data and analytics environments.
. Experience validating REST APIs, nested JSON payloads, and API integrations using tools such as Postman and Swagger/OpenAPI.
. Proficiency with Python, including pandas, NumPy, and JSON processing for data validation and analytics workflows.
. Experience supporting GenAI enabled reporting solutions, including prompt assisted data extraction, validation of AI generated summaries, narratives, tables, and visualizations.
. Ability to analyze data trends, identify anomalies, and verify business rule compliance before production releases.
. Familiarity with Agile delivery practices and collaboration tools such as Jira.
. Strong communication skills with the ability to work directly with business users, developers, QA teams, and product owners.
. Experience developing user documentation, onboarding materials, SOPs, and conducting knowledge transfer sessions.
. Understanding of data governance, model validation, and enterprise delivery standards within regulated industries, preferably financial services.
. Proven ability to provide production support and resolve issues during application rollout and post deployment stabilization.
Education:
Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or another related quantitative discipline.
Other Information:
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $89,600.00 $139,300.00.
CGI's benefits are offered to eligible professionals on their first day of employment to include: . Competitive compensation . Comprehensive insurance options . Matching contributions through the 401(k) plan and the share purchase plan . Paid time off for vacation, holidays, and sick time . Paid parental leave .Learning opportunities and tuition assistance . Wellness and Well being programs
Skills:
  • Agile
  • Amazon Web Services Cloud
  • Artificial Intelligence
  • Data Analysis
  • Python
  • SQL
  • Data Engineering
  • Data Engineering

What you can expect from us:
Together, as owners, let's turn meaningful insights into action.
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because...
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction.
Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
Come join our team-one of the largest IT and business consulting services firms in the world.
Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business.
CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at US_Employment_Compliance@cgi.com. You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned.
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All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances.
CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGI's legal duty to furnish information.

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