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Analytics Engineer Jobs in Reston, VA (NOW HIRING)

SAP NS2 Data Analytics Engineer

Herndon, VA ยท On-site

$117K - $141K/yr

SAP NS2 Data and Analytics Engineer - Hybrid - Herndon, VA; Newtown Square, PA The oCOO Data Management team is responsible for providing trusted data and analysis to support evaluation, research ...

SAP NS2 Data Analytics Engineer

Herndon, VA ยท Hybrid

$117K - $141K/yr

SAP NS2 Data and Analytics Engineer - Hybrid - Herndon, VA; Newtown Square, PA The oCOO Data Management team is responsible for providing trusted data and analysis to support evaluation, research ...

Minimum Qualifications * 3+ years of experience as an Analytics Engineer, Data Engineer, or in a related field delivering production-grade data models and durable data products. * Expert SQL skills ...

Minimum Qualifications * 3+ years of experience as an Analytics Engineer, Data Engineer, or in a related field delivering production-grade data models and durable data products. * Expert SQL skills ...

Minimum Qualifications * 3+ years of experience as an Analytics Engineer, Data Engineer, or in a related field delivering production-grade data models and durable data products. * Expert SQL skills ...

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Analytics Engineer information

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for business insights.

What engineers make $500,000?

Senior-level engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, especially with experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant growth potential.

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

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

What is the average salary of an analytics engineer?

The average salary of an analytics engineer typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with skills in SQL, Python, and data visualization tools tend to earn higher salaries, especially in larger organizations or tech hubs.

How does an Analytics Engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What is big data salary?

The salary for an Analytics Engineer working with big data typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals skilled in tools like Hadoop, Spark, and SQL tend to earn higher salaries, especially with certifications and advanced technical expertise.

What is an Analytics Engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.
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SAP NS2 Data Analytics Engineer

SAP NS2 Data Analytics Engineer

SAP

Herndon, VA โ€ข On-site

$117K - $141K/yr

Full-time

Posted 11 hours ago


Job description

Requisition ID: 454647
Work Area: Software-Design and Development
Expected Travel: 0 - 10%
Career Status: Professional
Employment Type: Regular Full Time
Career Level: T2
Hiring Manager: Jolene Borell Recruiter Name: Sheri Mauldin
Additional Locations:
COMPANY DESCRIPTION
SAP is the global market leader for business software and related services, and SAP National Security Services Inc. ยฎ (SAP NS2ยฎ) is an independent U.S. subsidiary, offering SAP solutions with specialized levels of security and support to meet the requirements of U.S. national security and critical infrastructure customers.
Must be a U.S. citizen; this position requires access to customer data.
SAP NS2 does not offer Visa sponsorships for this role. All internals must have manager's approval to transfer.
SAP NS2 Data and Analytics Engineer - Hybrid - Herndon, VA; Newtown Square, PA
The oCOO Data Management team is responsible for providing trusted data and analysis to support evaluation, research, assessment, and strategic planning for management decisions. The team creates data and analytics and enables users throughout the business to create a data-driven culture with an agile mindset enabling business transformation while working to ensure secure data usability, availability and efficiency. This position is a hybrid role and will be required to come into the Newtown Square office approximately one day a week.
The Data and Analytics Engineer will work in a cross-functional team and will be responsible for defining data architecture to support the business strategy and for data modeling development. Specific responsibilities include:
  • Design, develop, and document analytics and statistical modeling to develop metrics, reports, AI use cases, and/or dashboards leveraging SAP BDC, SAP HANA and SAP Analytics Cloud
  • Work with business and application/solution teams to define and implement data strategies, build data flows, and develop conceptual/logical/physical data models
  • Define to-be data architecture that supports business objectives and govern the expansion of existing data architecture and the optimization of analytics performance via best practices.
  • Provide recommendations and support SAP NS2's master data architecture, data governance approach, and data quality improvement efforts
  • Ensure re-use of existing data artifacts and single source of truth concept via the data architecture and data governance
  • Drive organizational change management and agile transformation throughout the establishment and optimization of analytics
  • Resolve complex issues proactively, working both independently and collaboratively as appropriate to address project requirements and articulate issues/challenges to reduce project delivery risks.
  • Design, implement, and document future-state data architecture and data modeling solutions, which may include the use of relational, dimensional, and NoSQL databases. These solutions support enterprise information management, business intelligence, AI/machine learning, data science, and other business interests.

Required Skills:
  • Bachelor's degree or master's degree + 5-8 years' experience
  • Hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, and ETL and data ingestion protocols).
  • Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.
  • Experience developing or maintaining data models and analytics related to financial management, sales, cloud operations, customer success and/or technology operations.
  • Proficient knowledge and technical competencies of relevant programming languages and modeling technologies and related business applications (e.g. SAP BTP, SAP BDC, SAP HANA, DF4A, SAC, C4S, ECC, S/4HANA, ServiceNOW).
  • Experience with large language models (LLMs), Cline, SAP Joule, and AI agents (nice to have, not required).
  • Good knowledge of master data management, metadata management, data modeling, and related tools.
  • Good knowledge of data security requirements for federal contractors (e.g. NIST Special Publications)
  • Experience with ServiceNow data management features and functionality preferred
  • Ability to work in a fast-paced, constantly changing environment
  • Ability to work in a hybrid environment with geographically dispersed colleagues
  • Strong written and oral communication skills
  • Must be a U.S. Citizen

Bring out your best
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
We win with inclusion
SAP's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
Compensation Range Transparency: SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP's commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted annual combined range for this position is 90000-198500USD. The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits.
AI Usage in the Recruitment Process
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
Please note that any violation of these guidelines may result in disqualification from the hiring process.
Requisition ID: 454647 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid
Requisition ID: 454647
Posted Date: May 28, 2026
Work Area: Software-Design and Development
Career Status: Professional
Employment Type: Regular Full Time
Expected Travel: 0 - 10%
Location: