Heidrick & Struggles

3 weeks ago

Senior Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Senior Data Engineer responsible for designing, building, and maintaining scalable data pipelines and data models (Snowflake) to enable self-service analytics and AI across the firm. Will own end-to-end data solutions, mentor junior engineers, and collaborate with data science, analytics, product, and business stakeholders to turn complex problems into robust data-driven outcomes.

Location: Chicago

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Design, develop, and maintain scalable, secure data pipelines, data models, and warehouse/lake environments, primarily on Snowflake.
•Own end-to-end data solutions from requirements gathering and design through implementation, testing, deployment, and iteration.
•Partner closely with cross‑functional stakeholders to translate business problems into robust data solutions, ensuring data is accessible, trustworthy, and actionable.
•Promote and contribute to best practices in data engineering (coding standards, testing, observability, documentation, and CI/CD).
•Mentor and support junior data engineers through code reviews, pairing, and guidance on design and implementation.

Pay and Benefits

Salary: USD 120,000 - 130,000 annually

Perks:Health InsuranceDentalVision401kPaid Leave

Key Requirements

•4–5 years of experience building and maintaining data lake/warehouse solutions and production‑grade data pipelines.
•Expert‑level proficiency in SQL, including complex queries, optimization, and stored procedures for data processing.
•Hands‑on experience with Snowflake (data modeling, performance tuning, and cost management).
•Proficiency in Python for data processing, orchestration, and automation.
•Experience designing, implementing, and operating ETL/ELT pipelines using modern pipeline tools and orchestration frameworks.

Experience:4-5 yearsData analyticsData warehousingSnowflakeETL/ELT

Education:Bachelor's

Skills:SQLSnowflakePythonETLELTCI/CDData governance

Languages:English

Tech Stack:SQLSnowflakePythonETL/ELTCI/CDGit

Company Brief

Heidrick & Struggles

Global executive search and leadership consulting firm specializing in senior-level executive recruitment, board advisory, leadership assessment, and culture shaping services for multinational corporations across industries.

Industry: Recruitment Agencies

Company Size: Enterprise (1,001+ employees)

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Chicago, United States

Founded: 1953

Website LinkedIn

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Heidrick & Struggles

3 weeks ago

Senior Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Location: Chicago

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Design, develop, and maintain scalable, secure data pipelines, data models, and warehouse/lake environments, primarily on Snowflake.
•Own end-to-end data solutions from requirements gathering and design through implementation, testing, deployment, and iteration.
•Partner closely with cross‑functional stakeholders to translate business problems into robust data solutions, ensuring data is accessible, trustworthy, and actionable.
•Promote and contribute to best practices in data engineering (coding standards, testing, observability, documentation, and CI/CD).
•Mentor and support junior data engineers through code reviews, pairing, and guidance on design and implementation.

Pay and Benefits

Salary: USD 120,000 - 130,000 annually

Perks:Health InsuranceDentalVision401kPaid Leave

Key Requirements

•4–5 years of experience building and maintaining data lake/warehouse solutions and production‑grade data pipelines.
•Expert‑level proficiency in SQL, including complex queries, optimization, and stored procedures for data processing.
•Hands‑on experience with Snowflake (data modeling, performance tuning, and cost management).
•Proficiency in Python for data processing, orchestration, and automation.
•Experience designing, implementing, and operating ETL/ELT pipelines using modern pipeline tools and orchestration frameworks.

Experience:4-5 yearsData analyticsData warehousingSnowflakeETL/ELT

Education:Bachelor's

Skills:SQLSnowflakePythonETLELTCI/CDData governance

Languages:English

Tech Stack:SQLSnowflakePythonETL/ELTCI/CDGit

Company Brief

Heidrick & Struggles

Industry: Recruitment Agencies

Company Size: Enterprise (1,001+ employees)

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Chicago, United States

Founded: 1953

Website LinkedIn