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Remote Analytics Engineer Jobs in Silver Spring, MD

Under Armour

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 ... REMOTE #HYBRID Relocation * No relocation provided Base Compensation $125,000.00-$165,000.00 USD ...

Rackner

Data Engineer (DoD Secret | Remote)

Washington, DC · Remote

$129K - $155K/yr

Data Engineer (DoD Secret | Remote) Location: Remote (U.S. Based) Clearance: Active DoD Secret ... Ingest and normalize structured and unstructured data (HL7, FHIR, PDF, JSON) for analytics and AI ...

Knexus

AI Software Engineer (Remote)

Vienna, VA · Remote

... Engineer with 6-8 years of experience to join our AI applications team. This is a fully remote ... Review and analyze software runtime performance, making algorithmic and performance improvements.

KBR

Senior Structural Analysis Engineer

Greenbelt, MD · On-site +1

$137K - $206K/yr

... but remote work may be possible if approved by the customer US Citizenship Areas of Desired ... analysis including MATLAB and Python programming for custom code generation and maintenance to ...

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$47K

$96.3K

$140.1K

How much do remote analytics engineer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for remote analytics engineer in Silver Spring, MD is $96,327.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,400.00 and $122,000.00 per year, depending on experience, location, and employer.

What are the main challenges faced by Remote Analytics Engineers, and how are they overcome?

Remote Analytics Engineers often encounter challenges such as coordinating across different time zones, maintaining clear communication with team members, and managing large datasets securely from a distance. These are typically addressed by leveraging collaboration tools (like Slack, Jira, or Zoom), following best practices in data security, and setting consistent check-in routines with the team. Additionally, remote engineers often use robust documentation and automated workflows to ensure data quality and project transparency. Building strong relationships and staying proactive in communication helps pave the way for successful collaboration and project delivery.

What is a Remote Analytics Engineer job?

A Remote Analytics Engineer is responsible for designing, building, and maintaining the data infrastructure that enables data-driven decision-making. They work with data pipelines, ETL processes, and data warehouses to ensure accurate and efficient data flow. This role typically requires expertise in SQL, Python, and data modeling, as well as experience with cloud platforms and analytics tools. Since the position is remote, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive in the Remote Analytics Engineer position, and why are they important?

To thrive as a Remote Analytics Engineer, you should have a strong background in data analysis, data engineering, and statistical modeling, usually supported by a degree in computer science, statistics, or a related field. Expertise in tools like SQL, Python, R, cloud platforms (such as AWS or Google Cloud), and experience with data visualization tools or certifications (e.g., Google Data Analytics) are typically required. Excellent communication, problem-solving abilities, and self-motivation are vital soft skills for effective remote collaboration and delivering analytical insights. These competencies ensure you can manage complex data pipelines, work seamlessly with distributed teams, and provide actionable results that support business decisions.

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Remote Analytics Engineer jobs near you
Analytics Engineer

Analytics Engineer

HelioCampus

Bethesda, MD • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

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).
Locations Remote Remote status Fully Remote

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