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Remote Data Engineering Jobs in Baltimore, MD (NOW HIRING)

... engineering or related roles, with exposure to Agile delivery and cross-functional project ... Experiencedworking with remote data via REST and JSON * Demonstrated experience in writing multi ...

Data Associate Engineer (Remote)

Baltimore, MD · Remote

$113K - $136K/yr

Supports the Software Engineering team with data analysis and validation with extensive SQL queries. * Writes and executes ETL code, primarily complex SQL stored procedures, but with a strong ability ...

Data Architect

Columbia, MD · On-site +1

$86K - $198K/yr

Remote Work: No Job Number: R0244044 Location: Columbia,MD,US Share job via: Share Data Architect ... Confer with systems analysts, engineers, and programmers to design applications. * Advise higher ...

Data Program Analyst

Linthicum Heights, MD · On-site +1

$33.17 - $33.65/hr

Survey Software: Experience programming and summarizing online surveys using platforms like ... Remote. Pay Range: Hourly $33.17 to $33.65 We offer several comprehensive benefits package ...

Showing results 41-60

Remote Data Engineering information

See Baltimore, MD salary details

$44.2K

$128.9K

$176.4K

How much do remote data engineering jobs pay per year?

As of Aug 3, 2026, the average yearly pay for remote data engineering in Baltimore, MD is $128,891.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,800.00 and $136,600.00 per year, depending on experience, location, and employer.

Can I work remotely as a data engineer?

Yes, remote data engineering roles are common, allowing professionals to work from various locations. These jobs often require skills in cloud platforms, programming, and data pipeline tools, and may involve collaboration through online communication tools.

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.

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.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives.

How to make $1000 a week remote?

Remote data engineers can earn $1000 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. Building a strong portfolio, obtaining relevant certifications, and working with multiple clients or on freelance platforms can help increase weekly income. Consistent remote work and advanced expertise are key to reaching this earning level.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Python, and cloud platforms remains critical for managing data workflows effectively.

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 Baltimore, MD? The most popular types of Data Engineering jobs in Baltimore, MD are:
What are popular job titles related to Remote Data Engineering jobs in Baltimore, MD? For Remote Data Engineering jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering jobs in Baltimore, MD look for? The top searched job categories for Remote Data Engineering jobs in Baltimore, MD are:
Infographic showing various Remote Data Engineering job openings in Baltimore, MD as of July 2026, with employment types broken down into 71% Full Time, 8% Part Time, 5% Temporary, and 16% Contract. Highlights an 100% Remote job distribution, with an average salary of $128,891 per year, or $62 per hour.

Lead Android Engineer

T Rowe Price

Owings Mills, MD • Remote

Other

Re-posted yesterday


T. Rowe Price rating

9.1

Company rating: 9.1 out of 10

Based on 21 frontline employees who took The Breakroom Quiz


Job description

Role Summary
T. Rowe Price is seeking a Lead Android Engineer to join our integrated Application Development team. In this role, you will partner withdistributedinternal teams, both onshore and nearshore,to design, develop, and enhance mobile applications for the financial services industry.You will be responsible for reviewing and interpreting system requirements and business processes, as well as coding, testing, debugging, and implementing software solutions. This position requires specialized knowledge in your discipline and extensiveexperienceintegrating related areas of expertise. You will leaddisciplinaryor cross-functional programs of significant complexity and risk,leveraging advanced analytical skills toidentifyinnovative solutions. You willoperateindependently, requiring guidance only in the most complex situations, and act as an advisor to management and key external stakeholders on broad-ranging projects.
Responsibilities

  • Serve as a domain expert in one or more areas of the software development lifecycle (e.g., coding, testing, deployment), leading significant components of development
  • Lead projects and work streams, ensuring successful delivery and alignment with organizational objectives
  • Take accountability for your own work and, at times, oversee the work of others; provide guidance on processes and standards within your area of expertise
  • Mentor and guide other engineers, enabling them to work independently; proactivelyidentifywhen junior engineersrequireassistanceand provide support in a constructive manner that fosters confidence
  • Contribute to the development and adoption of best practices within the group; actively collaborate with team members and make recommendations to improve processes
  • Lead development efforts and provide input into architectural and design decisions, including offering realistic estimates for project deliverables
  • Collaborate with internal groups such as architecture, design, DevOps, and enterprise security to ensure solutions align with overall technology direction and standards
  • Demonstrate flexibility in problem-solving, evolving solutions asnew informationor ideas are presented
  • Take accountability for technical debt within your own software, as well as for other Android Engineers and the broader Android application
  • Lead code reviews and activelyparticipatein providing constructive feedback on the designs and code of others
  • Facilitate discussions to guide tactical versus strategic decisions, clearly outlining trade-offs
  • Take initiative in addressing complex problems and resolve them through logical and structured approaches

Business Knowledge

  • Collaborate directly with business partners to understand and address their needs
  • Demonstrate in-depth knowledge of products and workflows within supported business areas
  • Effectively articulate business requirements and translate them intotechnologysolutions
  • Recommend solutions that align with Global Technology and business unit strategies
  • Make decisions with consideration of the firm's broader business strategy and future priorities
  • Ensure decisions reflect a focus on both current and future business needs, as well as fiscal responsibility

Qualifications
Required:

  • Typically requires a completed technical degree (e.g.,Bachelor's degree in Computer Scienceor equivalent) and 8+ years of progressive experience in software engineering or related roles, with exposure to Agile delivery and cross-functional project environments
  • Demonstrates in-depth knowledge andexpertisein the primary job discipline, with a working understanding of related fields
  • Maintains current knowledge ofnew technologies, including the latestGooglePlay Store requirements and Android platform features
  • Proven experiencesupportingthe full lifecycle of Android applications, from development through publishing and ongoing support
  • Proficient in multiple programming languages and comfortable transitioning between them
  • Strong background with Android SDK, Kotlin, Coroutines, Java, and Jetpack Compose
  • Experiencedworking with remote data via REST and JSON
  • Demonstrated experience in writing multi-threaded and networked applications
  • Familiarity with third-party libraries and APIs
  • Solid understanding of the general mobile landscape,architectures, trends, and emerging technologies
  • Operatesefficiently and transparently within one or more SDLC methodologies (e.g., Scrum)
  • Actively seeks feedback and guidance to improve technical skills, includingsubmittingwork for code review
  • Works effectively with existing data models and schemas and recommends changes or improvements as needed
  • Committed to quality, implementing robust software solutions using unit, integration, and acceptance testing during feature development
  • Capable of debugging large and complex components with minimalassistanceandsupportsother engineers in troubleshooting
  • Practices automated testing, ensuring work is tested in an automated and repeatable manner

Preferred:

  • Financial services or asset management experience
  • Familiarity with or hands-on experience using AI coding technologies, including Claude AI, Amazon Q, Kiro, agentic IC, or similar platforms
  • Experience integrating AI-driven features or solutions into mobile applications, such as chatbots, recommendation engines, or predictive analytics
  • Ability to evaluate and adopt emerging AI tools to enhance application functionality, user experience, or developer productivity
  • Demonstrated knowledge of prompt engineering, model integration, and responsible AI practices in software development

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States (e.g., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant work status)
FINRA Requirements
FINRA licenses are not required and will not be supported for this role
Work Flexibility
This role is eligible for hybrid work, with up to three days per week from home


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