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Junior Data Analytics Engineer Jobs (NOW HIRING)

Data Analytics Engineer

Glen Allen, VA ยท On-site

$106K - $127K/yr

Execute the analytics engineering roadmap by identifying the highest-leverage data opportunities and delivering the models and datasets needed to support them * Design and build a single source of ...

Data Analytics Engineer

Crystal City, TX ยท On-site

$99K - $119K/yr

Data Analytics Engineer ID: 1000000059 Location: Crystal City, VA Clearance Level: Obtain Public Trust Level 6 Shift: Standard Day Shift (M-F) Travel Requirements: None More about this job ...

Data Analytics Engineer

Houston, TX ยท On-site

$130K - $140K/yr

Data Analytics Engineer Location: Houston TX (4 days in office) Type: Full Time This role is a hybrid, bridging the gap between data engineering and business intelligence. You'll spend part of your ...

Data Analytics Engineer

Lexington Park, MD ยท On-site

$111K - $133K/yr

They are seeking a Data Analytics Engineer to work with operational and customer stakeholders to acquire, process, and analyze diverse data sources for mission-critical projects. Responsibilities ...

Data Analytics Engineer

Kokomo, IN ยท On-site

$101K - $121K/yr

The analytics engineer makes sure data is ingested, transformed, scheduled, and ready to be used for analytics. This role is responsible for designing, implementing, and maintaining data pipelines ...

Data Analytics Engineer

Houston, TX ยท On-site

$100 - $125/hr

Data Analytics Engineer Location: Houston TX (4 days in office) Type: Full Time This role is a hybrid, bridging the gap between data engineering and business intelligence. You'll spend part of your ...

We are seeking Completions Jr. Data Analysts located in Houston to provide part of the 24/7 ... Four-year college degree (petroleum engineering, geology, geoscience, any engineering preferred)

Sr. Data Analytics Engineer

Baltimore, MD ยท 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 ...

Our client, a leading manufacturing organization based in Virginia, is seeking a skilled Data & Analytics Engineer to help design, build, and scale a modern enterprise data and analytics environment.

Sr. Data Analytics Engineer

Baltimore, MD ยท On-site

$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 ...

Junior Data Analyst

Framingham, MA ยท Hybrid

$30 - $35/hr

About this position We're seeking a Junior Data Analyst to support reporting ... analytics, and data quality initiatives across the business. In this role, you'll work with ...

Sr. Data Analytics Engineer

OR ยท Remote

$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 ...

Sr. Data Analytics Engineer

Baltimore, MD ยท 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 ...

Showing results 21-40

Junior Data Analytics Engineer information

See salary details

$33.5K

$71.8K

$109.5K

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

As of Sep 9, 2026, the average yearly pay for junior data analytics engineer in the United States is $71,799.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $80,000.00 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.

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Infographic showing various Junior Data Analytics Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $71,799 per year, or $34.5 per hour.

Data Analytics Engineer

Glen Allen, VA โ€ข On-site

KORE1 Technologies
Recruiting and Staffing Servicesย โ€ขย 201 - 500 employees

$106K - $127K/yr

Full-time

Re-posted 15 days ago


Job description


KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for Data Analytics Engineer

The Opportunity
 is hiring a Data Analytics Engineer to help build the data foundation that powers trustworthy reporting, self-serve insights, and decision-making across the company. This is a unique opportunity to join at the ground floor and own the core analytics engineering layer end-to-end, from defining foundational metrics and data models to implementing best practices that scale.
In this role, you'll be both a hands-on builder and a technical partner to the business, designing data architecture, developing foundational models in dbt, and partnering with Product, Engineering, and GTM leaders to turn ambiguous questions into reliable, reusable data products.
This is a senior individual contributor role. You'll lead through technical ownership, influence, and execution, while helping set standards and patterns that future hires will build on.
What You'll Do
Help Build the Data Foundation
*    Execute the analytics engineering roadmap by identifying the highest-leverage data opportunities and delivering the models and datasets needed to support them
*    Design and build a single source of truth by developing foundational data models (dimensional modeling, star schemas, modular marts) that standardize business definitions and metrics
*    Manage a modern analytics infrastructure by implementing and using tools like dbt, Snowflake, and Git, including CI/CD patterns
*    Implement scalable standards for modeling, naming, testing, documentation, and dataset ownership to ensure maintainability as the organization grows
*    Improve trust in data by implementing data quality checks, monitoring and observability practices, and clear guidance on what is trusted
*    Partner cross-functionally with engineering, product, finance, and other business leaders to understand data needs and deliver solutions that drive decisions and outcomes
Enable Self-Serve and Decision-Making
*    Build curated datasets and semantic-friendly layers that keep BI and reporting consistent and reliable
*    Create dashboards and analytics tools that empower stakeholders to self-serve confidently, with clear definitions and documentation
*    Translate ambiguous business questions into structured, scalable data solutions, and not one-off queries
*    Translate complex analytical findings into clear, actionable recommendations that influence product strategy
Lead Through Technical Ownership
*    Act as the analytics engineering voice in technical decisions, ensuring solutions are practical, robust, secure, and useful
*    Drive cross-functional projects from discovery through delivery, influencing outcomes without formal authority
*    Contribute to data literacy and adoption through metrics definitions, training, and strong documentation
*    Collaborate with product managers during discovery to identify the right problems to solve using data
What We're Looking For
Analytics Engineering and Modeling Expertise
*    5 to 8+ years in analytics engineering, data engineering, BI, or closely related roles, with senior-level scope
*    Advanced proficiency in SQL and cloud data warehouses (Snowflake preferred)
*    Strong hands-on experience with dbt (or similar transformation frameworks), including modular project organization, plus testing and documentation practices
*    Proven ability to design scalable, reusable data models (dimensional modeling, star schemas, canonical metrics, shared dimensions)
*    Experience with BI tools (Looker, Tableau, Mode, or similar) and building datasets that support reliable reporting
*    Working knowledge of Python for scripting, automation, and data transformation
Engineering Rigor and End-to-End Ownership
*    Comfort owning pipelines and data flows end-to-end (sources to warehouse to transformations to BI and downstream consumption)
*    Familiarity with Git and GitHub, code review workflows, and CI/CD practices for analytics code
*    Experience implementing data quality and reliability patterns (dbt tests, Great Expectations, Monte Carlo, alerting, SLAs, or similar)
*    Strong understanding of modern data architecture patterns and tradeoffs, with the ability to build what's needed now while planning for scale
Business Partnership and Senior IC Skills
*    Strong track record partnering with non-technical stakeholders, turning vague questions into clear requirements, then turning requirements into reliable data products
*    Excellent communication skills, including explaining data concepts to business audiences and aligning on definitions and outcomes
*    Strong prioritization instincts, focusing on work that unlocks the most value and reduces recurring pain
*    Comfortable operating in ambiguity, moving fast while maintaining trust and quality
Bonus Points
*    Experience with semantic modeling layers like LookML
*    Familiarity with workflow orchestration tools (Hevo, Airflow, Dagster)
*    Background in high-growth startup or tech environments
*    Knowledge of data cataloging and metadata management tools (Atlan, etc.)
*    Understanding of AI/ML applications and prompt engineering for LLMs
*    Experience with statistical analysis and experimental design
Why This Role Is Special
This is a rare opportunity to help define the analytics function at a growing company. You'll have the freedom to establish best practices, choose our tooling, and have an immediate impact on business decisions. If you're someone who gets excited about both the big picture strategy and rolling up your sleeves to build, this role offers the best of both worlds. You'll work closely with leadership to shape how  uses data to drive growth.
About
Our Mission: 'Help ALL frontline workers feel more valued and connected so they can reach their full potential. And live a more fulfilling life.'
We're building world-class applications that solve real problems for real people. We obsess over customer needs, move fast, and celebrate wins together. If you thrive in environments where you can touch every part of the stack and see your work make an immediate difference, you'll love it here.



Compensation depends on experience but is typically 180k-200k

ABOUT KORE1
Specializing in professional and technical recruiting, KORE1 is committed to supporting top IT, Engineering, Creative, Scientific, Accounting and Finance professionals in their career paths. We build deep relationships with leading companies, connecting them to exceptional talent every day. With extensive industry expertise and unmatched opportunities, our goal is to provide a unique experience for our contractors and consultants as they prepare for their next role. We are passionate about matching the right people with the right companies.

Kore1 provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Kore1 complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Kore1 expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Kore1's employees to perform their job duties may result in discipline up to and including discharge.