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Remote Databricks Data Engineer Jobs in Dundalk, MD

Additional Key Responsibilities Include: ● Lead and mentor a team of data engineers in developing ... Spark, Databricks, and Airflow. ● Work with AWS services (e.g., Glue, Redshift, Athena, EMR ...

Remote Job Duration: Fulltime Client: Federal Criteria- Need ship because of federal regulations ... Ability to obtain Public Trust Clearance * 5+ years of experience in AI/ML, Data Science, Data ...

Remote Job Duration: Fulltime Client: Federal Criteria- Need ship because of federal regulations ... Ability to obtain Public Trust Clearance * 5+ years of experience in AI/ML, Data Science, Data ...

TS/SCI Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking an experienced Data ... Eight (8+) years of progressive experience in data architecture, data engineering, or a closely ...

Azure Cloud & Operations Engineer (Must be US Citizen or Green Card) Join a team building and ... Experience with Databricks, Azure Data Factory, or ETL platforms. * Experience supporting web ...

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 ...

(7786) Platform Engineer

Columbia, MD · On-site +1

$119K - $155K/yr

Description We are looking for a Cloud Platform Engineer with experience in Cloud technology (AWS ... Data systems (e.g. Cloudera CDH Hadoop, MapR Hadoop, Databricks, Apache Spark, etc..) is a plus.

Showing results 21-40

Remote Databricks Data Engineer information

See Dundalk, MD salary details

$44K

$128.3K

$175.6K

How much do remote databricks data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote databricks data engineer in Dundalk, MD is $128,309.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a remote Databricks data engineer?

A Remote Databricks Data Engineer is a professional who designs, develops, and manages large-scale data processing systems using the Databricks platform, often working from a remote location. They focus on building data pipelines, integrating data sources, and optimizing workflows for analytics and machine learning, leveraging tools like Apache Spark within Databricks. These engineers collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and scalable for business needs. Remote roles offer flexibility in work location while still requiring strong communication and technical skills.

What are the key skills and qualifications needed to thrive as a remote Databricks data engineer?

To thrive as a Remote Databricks Data Engineer, you need a solid background in data engineering, strong programming skills in Python or Scala, and experience with big data frameworks, often supported by a degree in computer science or a related field. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valuable. Strong problem-solving abilities, effective remote communication, and collaboration skills set top performers apart in distributed teams. These skills and qualities ensure efficient data pipeline development, seamless integration, and successful project delivery in remote environments.

What are some common challenges faced by remote Databricks data engineers and how can they be addressed?

Remote Databricks Data Engineers often encounter challenges such as coordinating efficiently with distributed teams, managing access to secure data environments, and ensuring smooth pipeline deployments across different cloud platforms. To overcome these, it's important to leverage communication tools for regular check-ins, follow strict data governance protocols, and utilize collaborative features in Databricks such as shared notebooks and version control. Proactively documenting your work and staying updated with platform updates can also help streamline remote collaboration and problem-solving.

What are popular job titles related to Remote Databricks Data Engineer jobs in Dundalk, MD?

For Remote Databricks Data Engineer jobs in Dundalk, MD, the most frequently searched job titles are:

What job categories do people searching Remote Databricks Data Engineer jobs in Dundalk, MD look for?

The top searched job categories for Remote Databricks Data Engineer jobs in Dundalk, MD are:

What cities near Dundalk, MD are hiring for Remote Databricks Data Engineer jobs?

Cities near Dundalk, MD with the most Remote Databricks Data Engineer job openings:

Infographic showing various Remote Databricks Data Engineer job openings in Dundalk, MD as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $128,309 per year, or $61.7 per hour.

Data Engineering Manager (Remote)

CareFirst

Baltimore, MD • Remote

Full-time

Retirement

Re-posted 28 days ago


CareFirst BlueCross BlueShield rating

7.3

Company rating: 7.3 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

241st of 315 rated insurance


Job description

Resp & Qualifications

PURPOSE: 
We are seeking a Manager, Data Engineering to lead a team responsible for delivering and supporting critical data platforms and solutions that enable CareFirst's HEDIS, Stars, Quality Measurement, and Risk Adjustment programs. This role will partner closely with business and technology stakeholders to ensure trusted, scalable, and timely data capabilities that support quality improvement initiatives, regulatory reporting, member outcome measurement, and accurate risk capture across the enterprise.

In addition to people leadership responsibilities, the Manager, Data Engineering will provide technical leadership for the design, development, and operation of modern data engineering solutions, including data pipelines, integrations, cloud-based platforms, data transformation processes, and enterprise data products. This role will be responsible for ensuring the reliability, scalability, security, and performance of critical healthcare data assets while driving modernization efforts, engineering best practices, platform stability, automation, and operational excellence across a complex data ecosystem. 

ESSENTIAL FUNCTIONS:

  • Manage the design of robust, reusable and scalable data driven solutions and data pipeline frameworks to automate the ingestion, processing, and delivery of structured and unstructured batch and real-time streaming data. Drives technical delivery and works with team on strategy and execution.
  • Oversees the development of data delivery services to support critical operational processes, analytical models, and machine learning applications. Understand and implement best practices in management of enterprise data, including master data, reference data, metadata, data quality, and lineage.
  • Develops a data culture and finds innovative approaches to train the data team. Work collaboratively with other technology teams, data scientists, analytics teams, and business product owners in an agile environment. Manage the selection and integration of data related tools, frameworks, and applications required to expand our platform capabilities.
  • Manages the maintenance of automated processes with a special focus on data flow and error recovery. Provides support during technical project life cycle and ensures targets are achieved in a timely manner. Stays up to date on data industry innovations and trends.

SUPERVISORY RESPONSIBILITY:
This position manages people.
QUALIFICATIONS:
Education Level: Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field OR in lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience.
Experience: 5 years Related professional experience. 1 year Supervisory or demonstrated progressive leadership experience.
Knowledge, Skills and Abilities (KSAs)

  • Ability to lead and develop high-performing data engineering teams while aligning technology strategy to business objectives and regulatory requirements.
  • Knowledge of modern data engineering architectures, including cloud-native platforms, data lakes, lakehouses, real-time processing, and enterprise data products. (Azure, Snowflake, IDMC, Fabric).
  • Knowledge of healthcare data domains, including claims, enrollment, provider, clinical, and quality measurement data used in HEDIS, Stars, and Risk Adjustment programs, including experience with HEDIS engines.
  • Knowledge of CMS regulatory reporting and data submission processes, including Risk Adjustment, EDGE Server submissions, RADV audits, and related healthcare regulatory requirements.
  • Ability to design, implement, and support scalable data pipelines, ingestion frameworks, and data integration solutions supporting enterprise analytics and operational workloads.
  • Knowledge of Agile delivery methodologies, DevOps practices, CI/CD pipelines, and infrastructure automation principles.
  • Knowledge of enterprise data governance, metadata management, lineage, and data quality control practices.
  • Proficient in programming and scripting languages used for data engineering, including Python, SQL, and other automation technologies.
  • Skill in communication, including executive presentations, stakeholder updates, and technical documentation.
  • Knowledge of budget planning, resource management, vendor oversight, and technology investment prioritization.
  • Ability to evaluate emerging technologies and establish technical roadmaps that support long-term scalability, data democratization, and analytics maturity objectives.
  • Must be able to meet established deadlines and handle multiple customer service demands from internal and external customers, within set expectations for service excellence. Must be able to effectively communicate and provide positive customer service to every internal and external customer, including customers who may be demanding or otherwise challenging.

Salary Range: 136,720 - 253,787

Salary Range Disclaimer

The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the work is being performed. This compensation range is specific and considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, internal peer equity, and market and business consideration. It is not typical for an individual to be hired at the top of the range, as compensation decisions depend on each case's facts and circumstances, including but not limited to experience, internal equity, and location. In addition to your compensation, CareFirst offers a comprehensive benefits package, various incentive programs/plans, and 401k contribution programs/plans (all benefits/incentives are subject to eligibility requirements).

Department

Data Engineering

Equal Employment Opportunity

CareFirst BlueCross BlueShield is an Equal Opportunity (EEO) employer.  It is the policy of the Company to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

Federal Disc/Physical Demand

Note:  The incumbent is required to immediately disclose any debarment, exclusion, or other event that makes him/her ineligible to perform work directly or indirectly on Federal health care programs.

PHYSICAL DEMANDS:

The associate is primarily seated while performing the duties of the position.  Occasional walking or standing is required.  The hands are regularly used to write, type, key and handle or feel small controls and objects.  The associate must frequently talk and hear.  Weights up to 25 pounds are occasionally lifted.

Sponsorship in US

Must be eligible to work in the U.S. without Sponsorship

#LI-ZW1 


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