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Data Engineer Jobs in Westminster, MD (NOW HIRING)

Sarian, Inc.

Lead Data Engineer

Owings Mills, MD · On-site

$109K - $131K/yr

Proficiency in data modeling and ETL workflows. * Proficiency with workflow schedulers like Airflow. * Hands on experience with AWS cloud-based data platforms. * Experience in DevOps, CI/CD pipelines ...

McKinsey & Company

Data Engineer - Periscope

Lisbon, MD · On-site

$125K - $151K/yr

You will be part of our global data engineering community, collaborating with data scientists, machine learning engineers, project managers, and industry experts. Together, you will design and ...

Apex Informatics

Data Architect

Owings Mills, MD · On-site

$60.75 - $78.25/hr

This is a hands on data engineering role but also includes steering strategic technology direction, define target state architecture, roadmaps and help build reference implementations in partnership ...

Georgia IT, Inc.

Kafka Engineer

Owings Mills, MD · On-site

The role involves supporting the Kafka platform's engineering lifecycle, troubleshooting incidents, and collaborating with cross-functional teams to design scalable data solutions. Responsibilities ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Westminster, MD

Data Engineer information

See Westminster, MD salary details

$42.8K

$124.7K

$170.6K

How much do data engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for data engineer in Westminster, MD is $124,654.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $132,100.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

What cities near Westminster, MD are hiring for Data Engineer jobs?

Cities near Westminster, MD with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Westminster, MD as of August 2026, with employment types broken down into 84% Full Time, 8% Temporary, and 8% Contract. Highlights an 79% In-person, 7% Hybrid, and 14% Remote job distribution, with an average salary of $124,654 per year, or $59.9 per hour.

Senior Data Engineer

Hunt Valley, MD • On-site

Nebraska Broadcasters Association
Media and Telecom • 1 - 10 employees
Learn more about Nebraska Broadcasters Associationexternal

$100K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

The Senior Data Engineer is a highly hands-on individual contributor responsible for building, operating, and improving Sinclair's enterprise data platform. This is a Snowflake-first engineering role: most of the work is performed within Snowflake and its native ecosystem. The role spans ingestion, integration, transformation, data modeling, data quality, observability, performance, cost optimization, and production support, with particular emphasis on Snowflake-native development and Snowflake Openflow.


The ideal candidate has approximately five years of progressive data engineering experience with substantial Snowflake depth, strong SQL and Python skills, and a track record of delivering reliable, well-governed data solutions in a complex enterprise setting.

This position is on-site in Hunt Valley, MD. Candidates must be local or willing to commute.


Responsibilities


Snowflake Engineering & Data Pipeline Development

  • Design, build, test, deploy, and maintain production-grade data pipelines using Snowflake-native capabilities including Snowpipe, streams, tasks, stored procedures, and functions.
  • Build scalable ELT patterns and bronze/silver/gold data models that make enterprise data reliable, reusable, and easy to consume.
  • Develop SQL and Python solutions for transformation, automation, orchestration, validation, and operational workflows.
  • Troubleshoot production issues, perform root-cause analysis, and implement durable, maintainable fixes.


Snowflake Openflow & Enterprise Integrations

  • Build, configure, operate, and troubleshoot Snowflake Openflow pipelines and connectors for enterprise data ingestion and replication.
  • Develop and support integrations from relational databases, Oracle environments, traffic and operational systems, CRM platforms, and other enterprise sources.
  • Implement API-based and vendor integrations using secure stages, external access integrations, authentication, and appropriate Snowflake ingestion patterns.
  • Modernize legacy ETL by moving appropriate workloads to Openflow and Snowflake-native ELT patterns that improve reliability, maintainability, and efficiency.


Data Quality, Reliability & Observability

  • Build data quality and validation controls covering completeness, accuracy, freshness, reconciliation, and integration health.
  • Develop monitoring and observability for ingestion, pipeline execution, data freshness, failures, and other operational conditions.
  • Design pipelines for resilience, restartability, traceability, and maintainability, with clear operational ownership and documentation.

Platform Engineering, Performance & Governance

  • Work deeply with Snowflake databases, schemas, warehouses, stages, integrations, roles, and other platform objects required to deliver production data solutions.
  • Optimize queries, pipelines, warehouses, and data structures for performance and cost using actual workload and usage patterns.
  • Apply appropriate access controls, environment separation, data protection, auditability, and governance practices in partnership with Security and data owners.
  • Identify technical debt, reliability risks, unnecessary spend, and opportunities to simplify or standardize solutions.


Data Products & Engineering Collaboration

  • Build governed data foundations for enterprise reporting, analytics, operational workflows, and emerging AI and data-product use cases.
  • Develop reusable data assets that support analytics applications, semantic layers, agents, and other consumption patterns without duplicating business logic.
  • Participate in technical design, code reviews, releases, production support, and continuous improvement; use Git, automated deployment, testing, and documentation practices.
  • Collaborate with Data Engineering, BI, Data Science, Security, Infrastructure, Finance, and business stakeholders to deliver practical, supportable solutions.


Required Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field; equivalent relevant experience will be considered.
  • Approximately five or more years of progressive experience in data engineering, analytics engineering, or a closely related discipline.
  • Deep, hands-on Snowflake experience building and supporting production data solutions in an enterprise environment.
  • Strong SQL skills with experience in data modeling, ELT/ETL development, query optimization, and production troubleshooting.
  • Hands-on experience with Snowflake-native capabilities such as Snowpipe, streams, tasks, stored procedures, and related engineering patterns.
  • Experience building production integrations across multiple source systems and business domains, plus strong Python skills for engineering, automation, APIs, or Snowflake development.
  • Experience with data quality, monitoring, observability, access controls, and governance in a production environment.
  • Experience with Git-based source control, code review, deployment practices, and modern software engineering approaches; strong problem-solving, communication, documentation, and ownership skills.


Preferred Qualifications

  • Experience with Snowflake Openflow and NiFi-based connectors for enterprise data replication and integration.
  • Snowflake certification such as SnowPro Core, Advanced Data Engineer, or Advanced Administrator.
  • Experience modernizing legacy ETL platforms into Snowflake-native and Openflow architectures.
  • Experience with Snowflake performance tuning, warehouse sizing, workload optimization, resource monitoring, cost management, data sharing, or secure data distribution.
  • Experience with external access integrations, OAuth, API integrations, notification patterns, or data quality/operational observability solutions.
  • Experience with enterprise financial, customer, CRM, advertising, traffic, media, audience, or operational data; familiarity with Snowflake Cortex or Snowflake Intelligence is a plus.


Why Join Us

This is an opportunity to do meaningful, hands-on data engineering at the center of an enterprise Snowflake environment that directly supports how the business operates, measures performance, serves customers, and makes decisions. You will work on real production data problems across Snowflake, Openflow, enterprise integrations, data quality, automation, and emerging AI capabilities. If you enjoy building things that work, taking ownership of production systems, solving complex data challenges, and continuously improving a modern data platform, this role is built for you.

The base salary compensation range for this role is $102,000 to $136,000. Final compensation for this role will be determined by various factors such as a candidate's relevant work experience, skills, certifications, and geographic location. Full time positions are eligible for benefits that include participation in a retirement plan, life and disability insurance, health, dental and vision plans, flexible spending accounts, 15 paid vacation days, 2 paid personal days, 9 paid holidays, 40 hours of paid sick leave, parental leave, and employee stock purchase plan.

EEO AND INCLUSIVITY:

Sinclair is proud to be an equal opportunity employer and a drug free workplace. Employment practices will not be influenced or affected by virtue of an applicant's or employee's race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, military or veteran status or any other characteristic protected by law.

About Sinclair:

Sinclair, Inc. (Nasdaq: SBGI) is a diversified media company and a leading provider of local news and sports. The Company owns, operates and/or provides services to 177 television stations in 79 markets affiliated with all major broadcast networks; owns Tennis Channel, the premium destination for tennis enthusiasts; and multicast networks CHARGE, Comet, ROAR and The Nest. Sinclair's AMP Media produces a growing portfolio of digital content and original podcasts. Additional information about Sinclair can be found at www.sbgi.net.

 About the Team

The life-blood of our organization is our people. We have a compelling story, a goal-oriented culture, and we take really good care of people. How good? Here is a glimpse: great benefits, open-door policy, upward mobility and a strong desire to see you succeed. Ready to be part of a winning team? Let's talk.

Please note that this position is not eligible for visa sponsorship, including employer sponsorship for an H-1B visa, OPT-STEM employment, etc.

Nebraska Broadcasters Association logo

About Nebraska Broadcasters Association

Sourced by ZipRecruiter

The Nebraska Broadcasters Association (NBA) is a key player in the communications industry located in Omaha, NE, US. Officially established in 1934, it was founded with the mission of fostering effective cooperation among broadcasters in Nebraska, advocating for their rights and promoting the highest standards of broadcasting. NBA is the voice for Nebraska’s free over-the-air radio and television broadcasters, serving the public interest since 1934. As a non-profit association, it relies on dues from member broadcasting stations to fulfill its purpose. Among its notable achievements, the association has played a major role in supporting broadcasters and ensuring they maintain adherence to regulations.

Industry

Media and telecom

Company size

1 - 10 Employees

Headquarters location

Omaha, NE, US

Year founded

1934

Social media

Twitter

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