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Internship Data Analytics Engineer Jobs (NOW HIRING)

Palmer Holland

Data Analytics Engineer

Westlake, OH · On-site

$106K - $127.30K/yr

Description Position Summary The Data Analytics Engineer is responsible for designing, developing, and delivering high-impact data visualizations, dashboards, and analytical products that enable ...

Sabre Systems LLC

Data Analytics Engineer

Lexington Park, MD · On-site

$111.20K - $133.50K/yr

Responsibilities The NAVAIR Digital Department, Command Data Officer Team is seeking a Data Analytics Engineer to work with our diverse operational and customer stakeholders to identify, help acquire ...

Request Technology, LLC

Data Analytics Engineer

Chicago, IL · Remote

$118K - $141.80K/yr

Prestigious Financial Company is currently seeking a Data Analytics Engineer. Candidate will join a team supporting the design and implementation of cloud infrastructure for internal analytics zone ...

Zayo

Data Analytics Engineer

Denver, CO · Remote

$77.10K - $118.60K/yr

We're looking for an Analytics Engineer to join our Network Data Solutions team. In this role, you will combine deep telecom data expertise with technical acumen and problem-solving skills to design ...

The Timberline Group

Data Analytics Engineer

Saint Louis, MO

$111.30K - $133.70K/yr

The Data Analytics Engineer will be a part of the Data Engineering team whose primary mission is to build trusted Data Ingestion Pipelines to seamlessly move and transform data from SaaS and in house ...

CGI Inc.

Data & Analytics Engineer

Nashville, TN · On-site

$110.60K - $132.80K/yr

Data & Analytics Engineer Category: Analytics and Emerging Digital Technologies Main location: United States, Tennessee, Nashville Position ID:J0426-0320 Employment Type: Full Time Position ...

The Timberline Group

Data Analytics Engineer

Saint Louis, MO · On-site

$111.30K - $133.70K/yr

The Data Analytics Engineer will be a part of the Data Engineering team whose primary mission is to build trusted Data Ingestion Pipelines to seamlessly move and transform data from SaaS and in house ...

Venturesoft

Data Analytics Engineer

Pleasanton, CA · On-site

$126.50K - $151.90K/yr

In this role as Data Analytics Engineer, In this role, you will build and maintain data pipelines, tools, and visualizations to enable organizational insights. You'll develop KPI reports, partner ...

GDIT

Data Analytics Engineer

Chantilly, VA · On-site +1

$142.79K - $169.83K/yr

Yes As a Data Analytics Engineer, you will: * Evolve Extract, Transform, Load (ETL) pipelines of structured and unstructured data from a verity of disparate sources to meet the needs of an advanced ...

AmaWaterways, LLC

Data Analytics Engineer

Calabasas, CA · On-site

$90K - $100K/yr

Role Summary AmaWaterways is hiring a Data Analytics Engineer to own the analytics layer of our modern data platform. You will design governed data marts, build the semantic layer that powers our ...

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How much do internship data analytics engineer jobs pay per hour?

As of May 29, 2026, the average hourly pay for internship data analytics engineer in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is the difference between Internship Data Analytics Engineer vs Data Analyst Intern?

AspectInternship Data Analytics EngineerData Analyst Intern
Required CredentialsBasic knowledge of data engineering, SQL, programmingBasic understanding of data analysis, Excel, SQL
Work EnvironmentAssist in building data pipelines, working with data engineering teamsAnalyze datasets, generate reports, support decision-making
Employer & Industry UsageTech companies, startups, data-driven organizationsBusiness, marketing, finance sectors

Internship Data Analytics Engineers focus on data pipeline development and engineering tasks, while Data Analyst Interns primarily analyze data and create reports. Both roles require foundational data skills but differ in technical focus and responsibilities.

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Internship Data Analytics Engineer jobs near you
Data & Analytics Engineer - Marketing Analytics

Data & Analytics Engineer - Marketing Analytics

Baird

Milwaukee, WI • On-site

Full-time

Posted 24 days ago

Baird rating

8.6

Company rating: 8.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

Job description

About the Role
Are you curious about how marketing data turns into insights that drive business decisions? Do you enjoy working hands-on with data while partnering closely with business stakeholders? Are you looking to deepen your skills in analytics engineering, data modeling, and modern data platforms?
As we continue to grow our data capabilities at Baird, we are seeking a Data & Analytics Engineer (DAE) with a focus on Marketing Analytics. This role is part of our IT Data & Analytics organization and supports marketing-focused use cases such as campaign performance, customer engagement, and channel analytics. The ideal candidate blends data engineering expertise with business curiosity, strong communication skills, and hands-on experience enabling analytics for Marketing stakeholders.
This role is based in Milwaukee, WI and works closely with Marketing, Analytics, Architecture, and Delivery teams.
The Impact You'll Make
Marketing Analytics & Business Support
  • Partner with Marketing teams and analysts to support analytics needs related to campaigns, customer engagement, and performance reporting.
  • Help translate marketing questions into clear data requirements, datasets, and metrics.
  • Support analytics use cases such as campaign reporting, segmentation, funnel analysis, and customer insights.
  • Build familiarity and trust with Marketing Teams about marketing data sources and how they are used across the organization.

Data Engineering & Data Management
  • Contribute to the design, build, and maintenance of data pipelines that ingest and transform marketing data.
  • Apply data modeling skills (3NF and dimensional) to support analytics-ready datasets.
  • Perform data analysis and profiling to understand source data and support quality outcomes.
  • Develop and validate source-to-target mappings and transformation logic.
  • Implement and test end-to-end data solutions under the guidance of senior engineers.
  • Follow established practices to ensure sensitive data is protected and handled appropriately.

Analytics Enablement & Delivery
  • Support data discovery efforts and help prototype datasets that bring together multiple data sources.
  • Leverage existing tools to enable reporting and visualization for Marketing users.
  • Document datasets and transformations to support usability and adoption.
  • Deliver work incrementally while balancing changing priorities.

Collaboration, Learning & Growth
  • Collaborate with delivery team members, architects, and business partners.
  • Communicate clearly about progress, risks, and dependencies.
  • Learn and apply Baird data standards, tools, and best practices.
  • Seek feedback and coaching from senior Data & Analytics Engineers.
  • Continuously build skills through training, documentation, and hands-on experience.

What You'll Bring to Baird
  • 5-7 years of experience delivering data and analytics solutions in a collaborative environment.
  • Experience with data engineering, analytics, or BI development.
  • Strong SQL skills and familiarity with relational data concepts.
  • Experience performing data analysis, profiling, and validation.
  • Ability to work with business partners to understand and support analytics needs.
  • Curiosity, strong problem-solving skills, and a desire to grow technically.

Technical Experience (Representative, Not Exhaustive)
  • Databases / Platforms: SQL Server, Snowflake, Azure SQL Database, Azure Data Lake.
  • Data Integration: SSIS, dbt, Azure Data Factory, or similar tools.
  • Query & Development: SQL, T-SQL, Azure Data Studio.
  • BI & Analytics Tools: Power BI, Alteryx, or similar.
  • Data Modeling & Governance: Basic 3NF and dimensional modeling, data mapping, data profiling, data quality concepts.
  • Data Formats: CSV, JSON, XML, Parquet.

Highly Preferred (Marketing Analytics)
  • Exposure to and experience with marketing or customer data (campaigns, digital engagement, CRM, or customer interaction data).
  • Interest in marketing measurement concepts such as attribution, segmentation, or funnels.
  • Experience working in a regulated or data-sensitive environment.

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