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Associate Data Engineering Jobs in Baltimore, MD

Blend360

Associate Director of Data Science

Columbia, MD · On-site +1

$58K - $59K/yr

Lead the delivery of AI and data science projects, managing a team of 4-5 developers and data scientists. * Design and implement AI solutions leveraging advanced techniques, including prompt ...

Blend360

Associate Director of Data Science

Columbia, MD

$58K - $59K/yr

Lead the delivery of AI and data science projects, managing a team of 4-5 developers and data scientists. * Design and implement AI solutions leveraging advanced techniques, including prompt ...

Pwc

Data Strategy-Manager

Baltimore, MD

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

Agile Defense

Data Engineer

Fort George G Meade, MD · On-site

$127K - $152K/yr

You will help shape and deploy data pipelines, pre-processing workflows, feature engineering ... associate's degree plus 7 years of recent specialized experience, OR, a major certification plus 7 ...

Agile Defense

Data Engineer

Fort George G Meade, MD · On-site

$127K - $152K/yr

You will help shape and deploy data pipelines, pre-processing workflows, feature engineering ... associate's degree plus 7 years of recent specialized experience, OR, a major certification plus 7 ...

iNovex Information Systems

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

We are seeking a Data Scientist with an expertise in data engineering, who is specifically focused ... Bachelor's Degree with 10 years of relevant experience, associate's degree with 12 years of ...

Stellent IT LLC

Cloud Data Engineer

Nottingham, MD · On-site

$116K - $139K/yr

... associates. Assists knowledge sharing and mentoring other employees with fewer skill sets to ... Management, Engineering, or similar) or equivalent work experience. 5+ years of experience ...

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All JobsAssociate Data Engineering JobsAssociate Data Engineering Jobs in Baltimore, MD

Associate Data Engineering information

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$14

$32

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How much do associate data engineering jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for associate data engineering in Baltimore, MD is $32.86, according to ZipRecruiter salary data. Most workers in this role earn between $24.38 and $38.94 per hour, depending on experience, location, and employer.

What are some typical projects an Associate Data Engineer might work on in their first year?

In their first year, an Associate Data Engineer often works on building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of new data sources. They may also assist in optimizing existing data workflows for better performance and reliability, as well as collaborating closely with data analysts and senior engineers to ensure data quality and accessibility. These projects help new team members develop a strong understanding of the organization's data infrastructure and best practices in data engineering.

What does an associate data engineer do?

An associate data engineer supports data collection, processing, and storage by developing and maintaining data pipelines and workflows. They often work with tools like SQL, Python, and cloud platforms, and may assist in data quality and integration tasks under the supervision of senior engineers.

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

To thrive as an Associate Data Engineer, a solid understanding of database systems, SQL, data modeling, and a relevant bachelor's degree in computer science or a related field is essential. Familiarity with ETL tools, cloud platforms like AWS or Azure, and programming languages such as Python or Java is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help set candidates apart in collaborative, data-driven environments. These skills and qualities are crucial for building reliable data pipelines, ensuring data quality, and enabling actionable business insights.

What is an Associate Data Engineer?

An Associate Data Engineer is an entry-level professional who assists in designing, building, and maintaining data pipelines and infrastructure. They typically work with senior data engineers to ensure data is collected, stored, and processed efficiently for analytics and business use. Responsibilities often include data cleaning, integration, and supporting the development of scalable data solutions. Associate Data Engineers usually have foundational knowledge of programming, databases, and cloud technologies.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. High compensation often involves leadership roles, specialized knowledge, or working in high-demand industries such as finance or technology. Achieving this level typically requires a combination of technical proficiency, certifications, and strategic career development.

What is the difference between Associate Data Engineering vs Data Engineer?

AspectAssociate Data EngineeringData Engineer
Required CredentialsBachelor's degree in CS, IT, or related field; some certificationsBachelor's or master's degree; extensive experience preferred
Work EnvironmentEntry-level, team-focused, supporting data pipelinesDesigning, building, and maintaining large-scale data systems
Employer & Industry UsageCommon in tech companies, finance, healthcareUsed across industries for advanced data infrastructure roles
Search & Comparison IntentEntry-level, learning, support rolesAdvanced, specialized data infrastructure roles

The main difference between Associate Data Engineering and Data Engineer lies in experience and responsibilities. Associate Data Engineers are typically entry-level, focusing on supporting data pipelines and gaining hands-on experience. Data Engineers have more experience, handling complex data architecture, optimization, and system design. Both roles require similar educational backgrounds, but Data Engineers usually have more technical expertise and responsibility.

Can I make 200K as a data engineer?

Senior data engineers with extensive experience, specialized skills in tools like Spark or cloud platforms, and working in high-cost-of-living areas can earn salaries around or above $200,000 annually. Entry-level or mid-level data engineers typically earn less, with salaries increasing with expertise, certifications, and industry demand.

What engineers make 200,000 a year?

Senior data engineers and specialized software engineers often earn $200,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and certifications. High salaries are common in competitive markets and large organizations that require complex data infrastructure and engineering expertise.
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:
Associate Data Engineering jobs near you
Associate Director of Data Science

Associate Director of Data Science

Blend360

Columbia, MD • On-site, Remote

$58K - $59K/yr

Full-time

Re-posted 23 days ago

Job description

Company Description
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com
Job Description
We are seeking a highly skilled and experienced Data Scientust to join our team. In this pivotal role, you will lead our data science initiatives, driving innovation and delivering data-driven insights to support strategic decision-making across the organization.
  • Lead the delivery of AI and data science projects, managing a team of 4-5 developers and data scientists.
  • Design and implement AI solutions leveraging advanced techniques, including prompt engineering, agentic architectures, RAG, computer vision, predictive modeling, deep learning, and optimization.
  • Collaborate with stakeholders to translate business requirements into scalable data science solutions.
  • Ensure high-quality project execution, including architecture design, solution validation, deployment, and CI/CD management.
  • Mentor and guide team members, fostering growth and knowledge sharing.
  • Communicate complex technical concepts effectively to both technical and non-technical stakeholders.
  • Maintain oversight of project timelines, resource allocation, and risk management.

Qualifications
  • 8-10 years of professional experience in Data Science, including 2-3 years in a Delivery Lead or Team Lead capacity.
  • Strong expertise in AI, including prompt engineering, agentic architectures, RAG, and computer vision.
  • Proven experience in predictive modeling, deep learning, optimization, algorithm design, and solution architecture.
  • Hands-on programming experience with Python and SQL.
  • Demonstrated leadership and team management skills.
  • Excellent problem-solving, project delivery, and business communication abilities.

Preferred Qualifications:
  • Domain knowledge in civil engineering, manufacturing, structural engineering, or mechanical/industrial engineering.
  • Project management experience and familiarity with Azure cloud infrastructure.
  • Experience with software deployment, quality assurance, CI/CD pipelines, and release cycle management.

Why Join Us:
  • Opportunity to lead cutting-edge AI projects across diverse industries.
  • Work with a collaborative, high-performing team of data scientists and engineers.
  • Influence the strategic direction of AI initiatives within the organization.

Additional Information

Apply