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10 days ago
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Infopro-digital·10 days ago
10 days ago

Data Analytics Engineer / Architect

Nashville, United States of AmericaFull-timeMid · 2-5 yearsData Engineer

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Must-have skills for this role

  • snowflake
  • dbt
  • sql
  • dimensional modeling

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Apply faster with autofill FREEinfopro-digital uses Workable - autofill it instead of retyping.careers.example.com/applyAutofillingFull namePriya SharmaEmailpriya.sharma@example.comPhone+49 30 1234567LocationBerlGet the extension

What you'll do

  • Design, build, and optimize scalable data transformation pipelines with a strong focus on SQL performance and efficiency, while maintaining robust dbt projects including models, tests, macros, and structured project setups.
  • Develop and evolve data models using dimensional modeling principles (e.g., star schemas) as well as Data Vault 2.0 and Anchor Modeling approaches in a combined modeling environment.
  • Define, standardize, and maintain business entities, KPIs, and metric logic as reusable assets, and provide semantic layers consumable by BI tools and machine learning use cases.
  • Work closely with business stakeholders to translate requirements into scalable data models, ensuring alignment, data consistency, and a single-source-of-truth approach.
  • Leverage modern data platforms such as Snowflake and/or Databricks and contribute to collaborative, Git-based development workflows including code reviews and best practices.

What they're looking for

  • Hands-on expertise in Snowflake and its data modeling capabilities for defining business entities, KPIs, and building semantic layers for BI and advanced analytics use cases. Additional experience in Databricks is a plus.
  • Advanced SQL expertise with a strong focus on transformations and query performance, combined with hands-on experience in dbt (models, tests, macros, and project structure), and a deep understanding of data modeling concepts such as dimensional modeling as well as Data Vault 2.0 and Anchor Modeling (or a strong willingness to learn both).
  • You collaborate effectively with business stakeholders and translate requirements into scalable data models, while maintaining high standards for data quality, harmonization, and single-source-of-truth principles within Git-based development workflows.
  • You communicate fluently in English with international colleagues and stakeholders in the US and Europe.
  • You would stand out with additional knowledge in Power BI (from a consumption perspective), experience with data testing frameworks (e.g., Great Expectations, DQX, Soda), familiarity with data cataloging and lineage tracking, as well as an understanding of feature engineering concepts for future ML use cases.

Nice to have

  • Additional experience in Databricks is a plus.
  • Additional knowledge in Power BI (from a consumption perspective)
  • Experience with data testing frameworks (e.g., Great Expectations, DQX, Soda)
  • Familiarity with data cataloging and lineage tracking
  • Understanding of feature engineering concepts for future ML use cases.

Summarised by NextRaise from the employer’s description, which follows in full below.

Full description from employer

Infopro Digital, the B2B group specialising in information and technology, is currently looking for a Data Analytics Engineer / Architect on a permanent contract to strengthen the Infopro Digital Automotive team in Nashville, TN.

Infopro Digital Automotive develops digital tools and software dedicated to the performance of decision-makers in the various sectors of the automotive aftermarket industry. Services benefit various automotive stakeholders, such as car manufacturers, aftermarket parts producers, distributors, and workshops. Further brands include ETAI, Eucon, HaynesPro, OATS, Inovaxo, Autronica, ETAI Ibérica, IsiCondal, Carooline, Haynes, DriveRightData, GiPA and Aurelis.

Join Infopro Digital and become a Key Player in our Team!

With exciting job opportunities worldwide, Infopro Digital opens up a vast universe of professional challenges. Joining our group means plunging into the heart of stimulating collaborations within multidisciplinary teams.

The challenge awaiting you:

As a Data Analytics Engineer / Architect (m/f/d), you will play a key role in shaping scalable data models and transformation pipelines, enabling reliable business insights and advanced analytics through high-quality, well-structured data.

You'll be contributing to a variety of projects, while developing your skills and reaching new levels of expertise.

The tasks awaiting you:

You will be responsible for :

  • Design, build, and optimize scalable data transformation pipelines with a strong focus on SQL performance and efficiency, while maintaining robust dbt projects including models, tests, macros, and structured project setups.
  • Develop and evolve data models using dimensional modeling principles (e.g., star schemas) as well as Data Vault 2.0 and Anchor Modeling approaches in a combined modeling environment.
  • Define, standardize, and maintain business entities, KPIs, and metric logic as reusable assets, and provide semantic layers consumable by BI tools and machine learning use cases.
  • Work closely with business stakeholders to translate requirements into scalable data models, ensuring alignment, data consistency, and a single-source-of-truth approach.
  • Leverage modern data platforms such as Snowflake and/or Databricks and contribute to collaborative, Git-based development workflows including code reviews and best practices.

Our data stack:

  • Snowflake, Databricks, Microsoft Azure
  • dbt, SQL, Python
  • Dimensional modeling, Data Vault 2.0, Anchor Modeling
  • Semantic layers, Power BI, product-facing APIs
  • Git, Azure DevOps, YAML, code reviews
  • Data testing frameworks, cataloging and lineage, Claude Code

Requirements

  • Hands-on expertise in Snowflake and its data modeling capabilities for defining business entities, KPIs, and building semantic layers for BI and advanced analytics use cases. Additional experience in Databricks is a plus.
  • Advanced SQL expertise with a strong focus on transformations and query performance, combined with hands-on experience in dbt (models, tests, macros, and project structure), and a deep understanding of data modeling concepts such as dimensional modeling as well as Data Vault 2.0 and Anchor Modeling (or a strong willingness to learn both).
  • You collaborate effectively with business stakeholders and translate requirements into scalable data models, while maintaining high standards for data quality, harmonization, and single-source-of-truth principles within Git-based development workflows.
  • You communicate fluently in English with international colleagues and stakeholders in the US and Europe.
  • You would stand out with additional knowledge in Power BI (from a consumption perspective), experience with data testing frameworks (e.g., Great Expectations, DQX, Soda), familiarity with data cataloging and lineage tracking, as well as an understanding of feature engineering concepts for future ML use cases.

Benefits

  • 20 vacation days (rising to 25 days)
  • 5 paid sick days
  • 11 paid company holidays
  • Medical, dental & vision insurance (including life insurance)
  • 401(k) plan plus match
  • Flexible Spending Account (FSA)
  • Short-term and long-term disability
  • Employee Assistance Program
  • Flexible working
  • Office gym membership
  • Employee referral scheme

Our foundations and values:

At Infopro Digital, we are driven by core values such as entrepreneurial spirit, constant customer focus, promoting diversity, striving for significant impact, and a collaborative culture. By joining us, you become part of a dynamic community that embraces these values on a daily basis, shaping the future with passion and commitment.

Diversity is one of our core values. We are convinced that our teams, drawn from all backgrounds and with different backgrounds and experiences, are one of the key drivers of our success. The Group is committed to a policy of equal opportunities and inclusion, from recruitment to career development, and we strive to provide an equitable working environment to promote the well-being of our teams.

Who are we?

Infopro Digital is a B2B group specializing in information and technology. The group is present in 26 countries and employs over 4,000 people. Its innovative solutions are aimed at professional communities in 5 key economic sectors: construction & public sector, automotive, risk & insurance, industry and retail.

Thanks to the group’s sectorial expertise, Infopro Digital covers all the needs of professionals. Its solutions enable decision-makers to make informed decisions and companies to sustainably develop their commercial activity and performance.

For more information, please visit https://www.infopro-digital.com/

Infopro Digital is Proud to Announce its 2024 Great Place To Work Certification™

Infopro Digital USA is proud to be Certified™ by Great Place To Work® in 2024 year.

The prestigious award is based entirely on what current employees say about their experience working at Infopro Digital.

Great Place To Work® is the global authority on workplace culture, employee experience, and the leadership behaviors proven to deliver market-leading revenue, employee retention and increased innovation.

"Great Place To Work Certification is a highly coveted achievement that requires consistent and intentional dedication to the overall employee experience," says Sarah Lewis-Kulin, the Vice President of Global Recognition at Great Place To Work. She emphasizes that Certification is the sole official recognition earned by the real-time feedback of employees regarding their company culture. “By successfully earning this recognition, it is evident that Infopro Digital stands out as one of the top companies to work for, providing a great workplace environment for its employees."

Company

Infopro-digital
Nashville, United States of America

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from Infopro Digital's careers site·first seen 12 Sept 2026·last verified 12 Sept 2026·How we source jobs

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