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Manager Data Analytics Engineer Jobs in Nottingham, MD

Index Analytics LLC

Sr. Data Engineer

Windsor Mill, MD · On-site

$116K - $139K/yr

Index Analytics is seeking a Data Engineer to support Government clients to design, build, and optimize scalable data pipelines and cloud-based solutions. The Data Engineer plays a key role in ...

INDEX ANALYTICS LLC

Sr. Data Engineer

Baltimore, MD · On-site

$116K - $139K/yr

Index Analytics is seeking a Data Engineer to support Government clients to design, build, and optimize scalable data pipelines and cloud-based solutions. The Data Engineer plays a key role in ...

Index Analytics

Data Engineer

Windsor Mill, MD · On-site +1

$121K - $163K/yr

Company Overview Index Analytics, LLC, is a rapidly growing, Baltimore-based small business ... The Data Engineer plays a key role in modernizing the organization's data ecosystem by implementing ...

Pwc

Data Strategy-Manager

Baltimore, MD · On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

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All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Nottingham, MD

Manager Data Analytics Engineer information

See Nottingham, MD salary details

$44.3K

$129.1K

$176.7K

How much do manager data analytics engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for manager data analytics engineer in Nottingham, MD is $129,104.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,000.00 and $136,800.00 per year, depending on experience, location, and employer.

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What are the key skills and qualifications needed to thrive as a manager data analytics engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

What job categories do people searching Manager Data Analytics Engineer jobs in Nottingham, MD look for?

The top searched job categories for Manager Data Analytics Engineer jobs in Nottingham, MD are:

What cities near Nottingham, MD are hiring for Manager Data Analytics Engineer jobs?

Cities near Nottingham, MD with the most Manager Data Analytics Engineer job openings:

Manager Data Analytics Engineer jobs near you
Infographic showing various Manager Data Analytics Engineer job openings in Nottingham, MD as of July 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $129,104 per year, or $62.1 per hour.

Sr. Data Engineer

Windsor Mill, MD • On-site

Index Analytics LLC
IT Services • 11 - 50 employees
Learn more about Index Analytics LLCexternal

$116K - $139K/yr

Other

Posted 11 days ago

Key responsibilities

  • Design, build, and optimize scalable data pipelines and cloud-based solutions using AWS and Snowflake.

  • Analyze data to create insights, develop data models, and support analytics, reporting, and operational needs.

  • Collaborate with stakeholders and cross-functional teams to gather requirements, ensure data quality, and deliver high-quality data solutions.

Job description

Index Analytics is seeking a Data Engineer to support Government clients to design, build, and optimize scalable data pipelines and cloud-based solutions. The Data Engineer plays a key role in modernizing the organization’s data ecosystem by helping transition legacy data analytics solutions to a contemporary infrastructure. This role blends advanced data engineering with hands‑on cloud solutions engineering, leveraging AWS, Snowflake, and modern DevOps practices. The ideal candidate has experience delivering high‑quality solutions in an Agile environment.The customer is very mission-focused, technically knowledgeable, and provides excellent support. This is an attractive and stimulating role on an amazing program that aims to make a real difference. The analytics system developed by the team at Index directly supports investigators, auditors, and other analysts working to identify and deter fraud, reduce waste, curtail patient harm, protect vulnerable children, and improve health outcomes for millions of Americans. Bring your passion for good work and help us make a difference!ResponsibilitiesCollaborate closely with stakeholders and cross‑functional, internal technical teams to gather requirements, document business rules and develop a thorough understanding of the business context and objectivesAnalyze data, create meaningful insights, and present information clearly to stakeholders.Leverage experience with Medicare and Medicaid data to build data access and semantic layers for data productsDevelop and optimize data models, both conceptual and physical, to support analytics, reporting, and operational consumptionImplement data quality, validation, and monitoring frameworks to ensure accuracy and reliabilityImprove end-to-end performance of data workflowsDevelop and maintain cloud-based data infrastructure using AWS services such as S3, Lambda, Glue, Step Functions, CloudWatch, SQS, DynamoDB, SageMaker and Event BridgeCollaborate to design secure, scalable, and cost‑optimized data solutions.Contribute to cloud governance, security, and best practicesDesign, build, and maintain scalable, reliable ETL/ELT data pipelines using AWS and SnowflakeEnsure data workflows are modular, testable, and properly version‑controlled.Operationalize pipelines with monitoring, alerting, and automated recovery mechanismsMeet schedule deadlines and commitments with a high-level of quality of deliverables.Collaborate with a team of cross-functional resources in an Agile delivery environment to deliver iterative valueUS citizen or lived in the US for 3 of the last 5 years. Must be able to obtain a U.S. Federal government client badge and pass a government background investigationBachelor’s degree or equivalent with eight (8) or more years of experience as Data Engineer or similar roleHands-on experience in SQL and Python is requiredPrior working knowledge of CMS enterprise repositories like IDR.Working knowledge of Medicare Part B & Part D data and Medicaid dataStrong proficiency in AWS services, SnowflakeStrong proficiency in GitHub for source control, branching strategy and reviewsKnowledge of data integration patterns, data warehousing, and modern data architectureExperience with object‑oriented programming and building with software engineering principlesDevOps exposure, including CI/CD tools like JenkinsStrong written and verbal communication skills are required, ability to collaborate, present, and report to stakeholders on findings.Knowledge of Agile framework, Scrum methodologies and knowledge of tools used to support them.Prior experience with government agencies is a plus. #J-18808-Ljbffr

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