1

Analytics Engineer Jobs in Reston, VA (NOW HIRING)

As an Analytics Engineer, you will play a key role in transforming data into meaningful insights that drive institutional decision-making. You'll partner with cross-functional teams to design ...

As an Analytics Engineer, you will play a key role in transforming data into meaningful insights that drive institutional decision-making. You'll partner with cross-functional teams to design ...

As an Analytics Engineer, you will play a key role in transforming data into meaningful insights that drive institutional decision-making. You'll partner with cross-functional teams to design ...

Senior Analytics Engineer

Washington, DC · On-site

$93K - $120K/yr

This role focuses on analytics engineering and data modeling, not traditional pipeline-heavy data engineering. We are looking for someone who understands the why behind the data, not just the how

Lead Analytics Engineer

Rockville, MD · On-site

$90K - $110K/yr

We are looking for a highly independent Lead Analytics Engineer to own and evolve our enterprise BI data layer, built on Snowflake and DBT. This role goes beyond implementation - you will be ...

We are looking for a highly independent Lead Analytics Engineer to own and evolve our enterprise BI data layer, built on Snowflake and DBT. This role goes beyond implementation - you will be ...

Lead Analytics Engineer

Rockville, MD · On-site

$90K - $110K/yr

We are looking for a highly independent Lead Analytics Engineer to own and evolve our enterprise BI data layer, built on Snowflake and DBT. This role goes beyond implementation - you will be ...

Senior Analytics Engineer

Mclean, VA · On-site

$105K - $145K/yr

As a Senior Analytics Engineer, you will own the single source of truth for key business metrics, ensuring alignment and trust in data across the organization. Responsibilities : • Own the mart ...

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 ...

SAP NS2 Data Analytics Engineer

Herndon, VA · 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 ...

next page

Showing results 1-20

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.
What are the most commonly searched types of Analytics Engineer jobs in Reston, VA? The most popular types of Analytics Engineer jobs in Reston, VA are:
What are popular job titles related to Analytics Engineer jobs in Reston, VA? For Analytics Engineer jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Analytics Engineer jobs in Reston, VA look for? The top searched job categories for Analytics Engineer jobs in Reston, VA are:
What cities near Reston, VA are hiring for Analytics Engineer jobs? Cities near Reston, VA with the most Analytics Engineer job openings:
Analytics Engineer

Analytics Engineer

HelioCampus

Bethesda, MD • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago


Job description

Who We Are:
HelioCampus was founded with the purpose of helping college & university leaders navigate today’s growing pressures. As one of EdTech’s most steadily growing companies, our roots in higher ed ground us in the critical nature of this work.

What We Do:
We help our clients navigate today’s high stakes with data and Institutional Performance Management practices. Together with our clients, we chart a path to sustainability by borrowing practices from the most successful businesses.

How We Do It:
We approach our work with a “we’re on it” attitude that the higher ed community has come to know and expect from our team. We’re data geeks to our core, committed to simplifying the toughest challenges and operating with transparency. Our most successful team members are change agents who love a challenge.

How You'll Help:
As an Analytics Engineer, you will play a key role in transforming data into meaningful insights that drive institutional decision-making. You’ll partner with cross-functional teams to design scalable data solutions, improve data quality, and deliver impactful analytics to our clients.

What You Will Do:

  • Design and implement robust, scalable data pipelines to support analytics and reporting needs.

  • Build, maintain, and optimize ETL/ELT processes across cloud-based data platforms.

  • Develop and automate reporting solutions and interactive dashboards using modern BI tools.

  • Ensure data integrity, quality, and governance across multiple data sources.

  • Apply statistical and analytical techniques to generate actionable business insights.

  • Collaborate with engineers, analysts, and client stakeholders to translate business needs into technical solutions.

  • Lead smaller projects or own key components of larger initiatives.

  • Contribute to continuous improvement efforts, including performance tuning and process automation.

  • Mentor junior team members and support knowledge sharing across the team.

You Will Be a Good Fit For This Role If You Have:

  • 2–4 years of experience in analytics engineering, data engineering, or a related field.

  • A bachelor’s or master’s degree in computer science, data analytics, information systems, or a related discipline.

  • Strong programming skills in languages such as Python, SQL, Scala, or Java.

  • Experience working with relational and/or NoSQL databases.

  • Hands-on experience building and optimizing ETL/ELT pipelines.

  • Familiarity with big data technologies such as Apache Spark or Hadoop.

  • Experience with BI tools and building dashboards (e.g., Tableau, Power BI, Looker, etc.).

  • Strong problem-solving skills with the ability to work through moderately complex data challenges.

  • Excellent communication skills with the ability to translate technical concepts into business insights.

  • A collaborative mindset and growing ability to lead projects or mentor others.

Nice To Have’s Include:

  • Experience with cloud platforms such as AWS, Azure, or GCP.

  • Exposure to data warehousing concepts and modern data stack tools (e.g., dbt, Snowflake, Redshift, BigQuery).

  • Experience with real-time or stream-processing systems.

  • Background working with higher education data or in a consulting environment.

  • Familiarity with data governance and data modeling best practices.

Projects You Will Work On:

  • Designing and enhancing enterprise data models for higher education institutions.

  • Building scalable data pipelines for institutional performance metrics (enrollment, retention, finance, etc.).

  • Developing advanced dashboards and reporting tools for executive-level decision-making.

  • Implementing data quality frameworks and monitoring systems.

  • Supporting cloud data warehouse initiatives across platforms like AWS, Azure, or GCP.

Location:
HelioCampus has two locations, Bethesda, MD and Chapel Hill, NC. This specific role is primarily remote, with occasional travel to an office or client site.

Compensation and Benefits:
HelioCampus offers employees a competitive salary along with paid time off, healthcare, vision, dental, 401(k) w/ company match, parental leave, remote work flexibility, home office perks, and a fun, collaborative work environment.

What Sets Us Apart:

1. Commitment to Higher Education: We believe that serving higher ed makes the world a better place. This drives our desire to deliver high-quality products and services to help higher education institutions serve their students and communities.

2. Flexibility to Fit Your Life: HelioCampus employees enjoy the autonomy, freedom, and trust of a remote-first working environment. We embrace an “on it” mentality both in and out of the workplace, and employees are supported in pursuing personal and professional passions.

3. A Community of Bright Minds with Big Hearts: HelioCampus hires curious and talented practitioners who bring a diversity of thought and genuine care for one another and our clients to work every day. Our team members are more than a job description and are encouraged to show up as their full and authentic selves.

What We Believe:
HelioCampus is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

Disclaimer:
The list of responsibilities described above is not comprehensive. Other tasks not mentioned here may be required. Changing business conditions may trigger changes to job responsibilities. This job description is not an employment contract.

Physical Qualifications:

This position requires the following physical qualifications to support a productive remote work environment. We are dedicated to providing reasonable accommodations for individuals with disabilities to perform the essential functions of this role. If you require accommodations, please discuss this during the application process.

Vision: Sufficient visual acuity to read documents, view computer screens, and engage in tasks that require attention to detail.

Hearing: Ability to communicate effectively in person (as applicable) and via phone or video conferencing, ensuring clear understanding of verbal instructions.

Fine Motor Skills: Proficient use of hands for typing, using a mouse, and managing office equipment such as printers and scanners.

Lifting: Occasional lifting of up to 10 pounds (e.g., office supplies or equipment).