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Junior Data Analytics Engineer Jobs in Baltimore, MD

Under Armour

Sr. Data Analytics Engineer

Baltimore, MD · On-site

$113K - $136K/yr

This role involves building scalable data transformation frameworks and data products, designing data analytics pipelines, and mentoring junior engineers while delivering trusted data products that ...

Under Armour

Sr. Data Analytics Engineer

Baltimore, MD · On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high ... You will lead complex programs, mentor junior engineers, and influence architectural direction ...

Syntricate Technologies

Data Analytics Engineer

Towson, MD · On-site

$109K - $131K/yr

Syntricate Technologies is seeking a Data Analytics Engineer to join their team. The role involves working with Azure Data Factory and Microsoft Power Platforms to develop analytical reports and ...

Gigatec Engineering

Data Analytics Engineer

Annapolis, MD · On-site

$113K - $136K/yr

... Engineering role, you'll get to build the workflow engines behind the curtain, designing reliable Apache Airflow pipelines that keep data moving cleanly, efficiently, and on schedule for analytics ...

Index Analytics

Junior Data Analyst

Baltimore, MD · On-site +1

$61K - $84K/yr

Index Analytics, LLC, is a rapidly growing, Baltimore-based small business providing health-related ... The Junior Data Analyst supports data-driven decision-making and operational improvement by ...

Sage Ventures LLC

Jr. Data Analyst

Pikesville, MD · On-site

The Junior Data Analyst is responsible for designing, developing, and maintaining multifamily ... Maintain multifamily analytics end to end, including data systems, workflows, automation reporting ...

Sage Ventures LLC

Jr. Data Analyst

Pikesville, MD · On-site

$60K - $80K/yr

The Junior Data Analyst is responsible for designing, developing, and maintaining multifamily ... Maintain multifamily analytics end to end, including data systems, workflows, automation reporting ...

Brooksource

Jr Data Engineer

Baltimore, MD · On-site

$30 - $40/hr

... a Jr. Data Engineer. In this remote, 6-month contract-to-hire position, you will support the development and maintenance of scalable data pipelines and analytics solutions. Working closely with ...

asrcfh

Junior Data Scientist

Greenbelt, MD · On-site

We are seeking a Data Scientist / Machine Learning to provide junior-level support a NASA contract ... engineering, data visualization, and quantitative analysis. * Demonstrated ability to build ...

asrcfh

Junior Data Scientist

Greenbelt, MD · On-site

We are seeking a Data Scientist / Machine Learning to provide junior-level support a NASA contract ... engineering, data visualization, and quantitative analysis. * Demonstrated ability to build ...

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All JobsData Analytics Engineer JobsJunior Data Analytics Engineer JobsJunior Data Analytics Engineer Jobs in Baltimore, MD

Junior Data Analytics Engineer information

See Baltimore, MD salary details

$33.3K

$71.3K

$108.8K

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

As of Aug 30, 2026, the average yearly pay for junior data analytics engineer in Baltimore, MD is $71,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,200.00 and $79,500.00 per year, depending on experience, location, and employer.

What is a junior data analytics engineer?

A Junior Data Analytics Engineer is an entry-level professional who assists in collecting, processing, and analyzing data to help organizations make informed decisions. They typically work with data pipelines, databases, and analytical tools to support senior data engineers and analysts. Their responsibilities often include cleaning data, writing basic queries, and creating simple reports or dashboards. This role serves as a foundation for more advanced positions in data engineering and analytics.

What are the key skills and qualifications needed to thrive as a junior data analytics engineer?

To thrive as a Junior Data Analytics Engineer, you need a solid understanding of data analysis, statistics, and programming languages such as Python or SQL, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (e.g., Tableau, Power BI), database management systems, and cloud platforms is commonly expected. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this role. These abilities are crucial for accurately analyzing data, translating findings into actionable insights, and enabling data-driven decision-making within organizations.

What are the most common challenges faced by a junior data analytics engineer when transitioning from academic projects to real-world business data?

One of the most common challenges for Junior Data Analytics Engineers is adapting to the complexities of real-world data, which is often incomplete, inconsistent, or unstructured compared to clean academic datasets. Additionally, there is a stronger emphasis on collaboration with cross-functional teams and communicating findings to non-technical stakeholders. Learning to balance technical analysis with business objectives, and managing multiple tasks or project deadlines, are also typical hurdles. Overcoming these challenges helps junior engineers grow quickly and become valuable contributors to their teams.

What is the difference between Junior Data Analytics Engineer vs Data Analyst?

AspectJunior Data Analytics EngineerData Analyst
Required SkillsBasic programming, data modeling, SQL, data pipeline understandingData visualization, statistical analysis, Excel, SQL
Work EnvironmentCollaborates with data engineers and developers, often in tech or finance sectorsWorks with business teams to interpret data, in various industries
CertificationsSQL, Python, entry-level data certificationsExcel, Tableau, Power BI certifications

Junior Data Analytics Engineers focus on building data pipelines and integrating data systems, requiring programming skills. Data Analysts primarily interpret data through visualization and statistical methods. Both roles often overlap but serve different core functions within data teams.

What are the most commonly searched types of Data Analytics Engineer jobs in Baltimore, MD?

The most popular types of Data Analytics Engineer jobs in Baltimore, MD are:

What are popular job titles related to Junior Data Analytics Engineer jobs in Baltimore, MD?

For Junior Data Analytics Engineer jobs in Baltimore, MD, the most frequently searched job titles are:

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

The top searched job categories for Junior Data Analytics Engineer jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Junior Data Analytics Engineer jobs?

Cities near Baltimore, MD with the most Junior Data Analytics Engineer job openings:

Junior Data Analytics Engineer jobs near you
Infographic showing various Junior Data Analytics Engineer job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $71,343 per year, or $34.3 per hour.

Sr. Data Analytics Engineer

Under Armour

Baltimore, MD • On-site

$113K - $136K/yr

Full-time

Re-posted 17 days ago

Under Armour rating

6.9

Company rating: 6.9 out of 10

Based on 113 frontline employees who took The Breakroom Quiz

23rd of 104 rated fashion retailers

Job description

Job Summary:
Under Armour is committed to empowering individuals who strive for more, and they are seeking a highly motivated Sr. Data Analytics Engineer to join their Enterprise Data Management & Analytics team. This role involves building scalable data transformation frameworks and data products, designing data analytics pipelines, and mentoring junior engineers while delivering trusted data products that drive smarter decisions.
Responsibilities:
• Lead data model design, semantic layer definition, and scalable ELT architecture.
• Design and deliver advanced data models, automation workflows, and decision-intelligence solutions.
• Build high-quality analytical datasets and visualization-optimized data structures.
• Own CI/CD deployment pipelines and release management processes.
• Drive engineering best practices include testing, observability, modular modeling, and documentation.
• Optimize Snowflake warehouse performance, cost efficiency, RBAC, and semantic layer design.
• Lead root-cause analysis and long-term fixes for complex data issues.
• Mentor junior engineers and uplift engineering maturity across squads.
• Facilitate stakeholder sessions to translate business requirements into scalable data products.
• Influence architectural decisions and emerging-technology adoption.
• Partners across EDMA, AI/Automation, Platform, and Governance teams.
• Responsible for on-call support and proactive monitoring of the EDMA platform to ensure seamless production operations and support for teams across all regions.
• Apply Generative AI tools to streamline development workflows and enhance product quality.
• Contribute to the design of AI-enabled automation solutions.
Qualifications:
Required:
• Bachelor's degree with typically 5 years of relevant experience or Master's degree with typically 3 years of relevant experience or typically 9 years of relevant work experience without a degree.
• Expert SQL abilities with mastery in complex data transformation patterns.
• Deep expertise in data modeling, ELT design, and enterprise data architecture.
• Proven ability to design scalable data apps, automation pipelines, and decision-intelligence solutions.
• 4+ Years of experience with Tableau or similar analytics platforms.
• 5+ Years of dbt experience (modular modeling, testing, documentation, governance) or equivalent.
• 2+ Years of experience & strong background in CI/CD engineering best practice.
• 5+ Years of Snowflake experience (VWH optimization, RBAC, cost/performance engineering, semantic layer design).
• Advanced Python for automation, orchestration, and engineering workflows.
• Working knowledge of automation tools (e.g., Elementum).
• Strong capability to influence architecture, mentor peers, and drive emerging technology adoption.
• Generative AI applies responsibly to accelerate development and improve quality.
• Experience with AI Coding Assistants (e.g. GitHub Copilot, Claude, Cursor, Cortex Code).
• Skilled at bridging the gap between technical depth and business clarity through impactful communication.
Company:
Under Armour is a manufacturer of footwear, sport, and casual apparel. Founded in 1996, the company is headquartered in Baltimore, USA, with a team of 10001+ employees. The company is currently Late Stage.

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