2

Remote Data Engineering Jobs in Maryland (NOW HIRING)

Remote Senior Data Engineer

California, MD · Remote

$101.60K - $138K/yr

A minimum of 1 years experience in data engineering, analytics engineering, or software engineering with an emphasis on large scale data management and processing systems. Proficiency in Python and ...

Lead Data Engineer

Baltimore, MD · On-site +1

$113.80K - $136.60K/yr

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field (or ... Work Flexibility This role is eligible for full time remote work.

Data Engineer III

Silver Spring, MD · Remote

$118.40K - $142.10K/yr

Data Engineer III This is a remote position. Ad Hoc is a technology company that empowers organizations to deliver scalable, impactful digital services. Using modern, agile methods, our team creates ...

AI Data Architect

Annapolis, MD · On-site +1

$83.20K - $178.80K/yr

You will bridge advanced data engineering, governance, and AI/ML model lifecycle requirements to ... However, the remote location must within the US. How you'll spend your time: * Define and implement ...

Data Engineer |

Suitland, MD · On-site +1

$123.40K - $148.20K/yr

... engineering, DevOps, data science, and product management teams to design/build solutions that ... This position is Hybrid - with on-site support in Suitland, MD and REMOTE. Federal position ...

Data Engineer (Data Quality & Automation)

Bethesda, MD · On-site +1

$122.20K - $146.80K/yr

Collaborate with technical leads, architects, and engineering teams to define and promote standard data engineering and quality practices. * Support deployment, monitoring, and troubleshooting of ...

Data Engineer

Bethesda, MD · On-site +1

$122.20K - $146.80K/yr

... and data engineering. * Expertise in SQL: Strong proficiency in developing complex queries ... This specific role is primarily remote, with occasional travel to an office or client site.

Data Engineer

Bethesda, MD · On-site +1

$122.20K - $146.80K/yr

... and data engineering. * Expertise in SQL: Strong proficiency in developing complex queries ... This specific role is primarily remote, with occasional travel to an office or client site.

next page

Showing results 1-20

Remote Data Engineering information

See Maryland salary details

$43.2K

$125.9K

$172.3K

How much do remote data engineering jobs pay per year?

As of May 28, 2026, the average yearly pay for remote data engineering in Maryland is $125,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,100.00 and $133,400.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

How can I make $2000 a week working from home?

Remote data engineers can earn $2000 or more per week by working on high-demand projects, leveraging specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL. Achieving this income often requires advanced expertise, certifications, and experience with tools such as AWS or Azure, as well as the ability to handle multiple clients or projects simultaneously.

What is the difference between Remote Data Engineering vs Remote Data Analyst?

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Engineering jobs in Maryland? The most popular types of Data Engineering jobs in Maryland are:
What are popular job titles related to Remote Data Engineering jobs in Maryland? For Remote Data Engineering jobs in Maryland, the most frequently searched job titles are:
What cities in Maryland are hiring for Remote Data Engineering jobs? Cities in Maryland with the most Remote Data Engineering job openings:
Infographic showing various Remote Data Engineering job openings in Maryland as of May 2026, with employment types broken down into 1% Internship, 2% As Needed, 83% Full Time, 10% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $125,895 per year, or $60.5 per hour.
Senior Director, Data Engineering & Architecture

Senior Director, Data Engineering & Architecture

Breakthru

Linthicum, MD • On-site, Remote

$66.50 - $88.75/hr

Full-time

Medical, Life, Retirement, PTO

Posted 7 days ago


Job description

Time Type:

Full time

Remote Type:

Job Family Group:

Information Technology

Job Description Summary:

Breakthru Beverage Group (BBG) is in the midst of a major enterprise transformation to modernize our data foundations, simplify our technology landscape, and enable AI-driven decision-making across the business. A core pillar of this transformation is the development of a modern, scalable Snowflake data platform on AWS - the backbone for enterprise reporting, data products, and advanced analytics.
We are seeking a strategic, hands-on engineering and architecture leader to build and evolve BBG's enterprise data platform and establish our long-term enterprise architecture standards. This senior data leader will define the blueprint for how data is ingested, modeled, governed, and consumed - while also being unafraid to dive into code, solve complex engineering challenges, and set engineering excellence across the organization.
The Sr. Director of Data Engineering & Enterprise Architecture will lead the teams and capabilities responsible for building BBG's modern data platform and defining the enterprise-wide data architecture required for operational reporting, business insights, and AI products. This role sits at the intersection of strategy, architecture, and hands-on engineering. You will define and enforce architectural patterns, build reusable data products, drive modernization away from legacy systems, and ensure the platform is AI-ready and scalable to support BBG's multi-year transformation agenda.

Job Description:

This role follows a flexible hybrid schedule, with two days per week in the office and three days working from home. This role can be performed from any Breakthru Beverage Office Location.

Job Responsibilities:

  • Build & Lead High-Performing Teams
    • Build, hire, and lead a high-performing team of data engineers and architects, setting clear expectations, standards, and accountability.
    • Coach, mentor, and develop team members through hands-on technical leadership, fostering a culture of excellence, ownership, and continuous improvement.
  • Strategy & Planning
  • Define and own the multi-year data engineering and enterprise data architecture strategy, ensuring alignment with BBG's short- and long-term business objectives and overall technology roadmap.
  • Translate enterprise and business priorities into a clear, executable roadmap that balances near-term delivery, long-term architectural integrity, and AI readiness.
  • Partner with IT, Finance, and business leaders to prioritize initiatives, sequence investments, and ensure disciplined execution across BBG's data and technology transformation portfolio.
  • Lead Data Engineering & Platform Build
    • Build, lead, and mature BBG's Data Engineering function responsible for the Snowflake data platform, ingestion pipelines, data transformations, and reusable enterprise data assets.
    • Develop and enforce modern engineering standards - CI/CD, dbt, Terraform, orchestration, testing, observability - to drive reliability, automation, and consistency.
    • Engineer the platform for AI readiness and developer productivity, designing scalable, AI-ready data foundations while leveraging AI-assisted development to accelerate delivery, improve code quality, and enhance the day-to-day engineer experience across the Data & AI organization.
  • Own Enterprise Data Architecture
    • Define the enterprise data architecture roadmap across ingestion patterns, canonical modeling, data products, MDM alignment, semantic layers, and AI-ready structures.
    • Establish standards for data modeling, metadata, lineage, data contracts, data quality, and architectural governance across the organization.
    • Own enterprise data architecture decisions and tooling strategy, leading evaluation, selection, and governance of data platforms and tools to ensure they align with BBG's target architecture, security standards, scalability requirements, and long-term roadmap.
  • Be Hands-On when Needed
    • Act as a hands-on technical leader, setting the engineering bar through direct involvement in complex technical challenges and critical architectural decisions.
    • Comfortable writing, reviewing and approving production-grade code (SQL, Python, dbt, Terraform) if required, ensuring high standards for quality, performance, security, and maintainability.
    • Lead code reviews and design reviews, providing constructive feedback, enforcing best practices, and ensuring alignment with BBG's engineering and architectural standards.
  • Partner Across the Business
    • Work closely with BBG's business functions to translate their needs into scalable data architecture and engineering deliverables.
    • Collaborate with SAP, AWS, and Snowflake partners to ensure alignment with BBG's modernization and investment roadmap.
    • Communicate architectural decisions clearly to both technical and non-technical stakeholders, influencing direction and securing alignment.
  • Other duties, as assigned by the jobholder's supervisor, may also be required

Qualifications:

  • Bachelor's degree in business, engineering, information technology or related work experience
  • 15+ years of experience in data engineering, enterprise data architecture, or software engineering, with 8+ years in an engineering or architecture leadership role.
  • Proven experience building, leading, and scaling high-performing engineering and architecture teams, including hiring, coaching, performance management, and developing senior technical leaders.
  • Deep experience architecting and operating modern cloud data platforms - ideally Snowflake on AWS - including storage design, compute optimization, performance tuning, and cost governance.
  • Hands-on expertise with SQL, Python, data modeling, ELT pipelines, dbt, orchestration frameworks (Airflow/MWAA), and DevOps tooling such as GitLab CI/CD.
  • Strong experience designing enterprise-wide data architecture, including canonical models, domain-driven data products, semantic layers, and MDM integrations.
  • Familiarity with SAP ECC/S/4 data structures and integration approaches (ODP, IDocs, APIs) is a plus.
  • Demonstrated ability to define architectural standards, influence engineering teams, and drive alignment across IT, business partners, and external vendors.
  • Experience enabling AI/ML use cases through well-designed data pipelines, feature stores, vector-enabled data sets, or integration with AWS (SageMaker, Bedrock) or Snowflake (Cortex) AI services.
  • A strong mix of strategic thinking and hands-on execution - able to see the big picture, define the long-term architecture, and also dive into code when necessary.
  • Excellent communication skills with the ability to guide decisions, simplify complexity, and represent data engineering and architecture at all levels of the organization.

Physical Requirements:

  • While performing the duties of this job, the employee is required to remain in a stationary position at times; communicate, and operate a computer and telephone.

Competencies:

  • Ability to develop complex, multi-project communication plans that understand IT goals, priorities, and resource constraints.
  • Anticipates significant problems and efficiently resolves most with minimal input; develops creative, feasible solutions to advanced problems, effectively advocates for adoption of proposed solutions and develops process for them.
  • Be decisive, a strategic planner, manage multiple tasks and deadlines, have excellent problem-solving skills, have strong business and budgeting acumen, and display calmness and composure under stress or uncertainty, inspiring the same in direct reports.

This job description is only a summary of the typical functions of this position, not an exhaustive or comprehensive list of all possible job responsibilities, tasks and duties. Responsibilities, tasks, and duties of individual jobholders may vary from the above description.

Salary and Benefit Statement:

Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant's skills and prior relevant experience.

  • Salary Range: $168,000.00 - $220,000.00
  • This position is eligible to participate in a bonus program. Metrics and level of participation are determined annually.
  • This position is eligible for health care benefits, life insurance, time off benefits and participation in the Company's 401(k) plan
-

-

Breakthru Beverage Group is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information and other legally protected characteristics. The EEO is the Law poster is available here. If you need a reasonable accommodation because of a disability for any part of the employment process, please call (708) 298-3536 and let us know the nature of your request and your contact information.