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Data Warehousing Jobs (NOW HIRING)

Together AI

Data Warehouse Engineer

San Francisco, CA · On-site

$130K - $170K/yr

We're looking for an early-career Data Warehouse Engineer with strong fundamentals and high growth potential to grow into a technical lead over time. You'll contribute to designing and operating our ...

Guru Schools

Data Warehouse Analyst

Sarasota, FL

Strong Data Integration and Data Warehousing experience with Snowflake Data Cloud and Informatica IICS Cloud Data Integration tools. * Strong Experience with Data Integration tasks like extraction ...

Trilyon, Inc.

Data Warehouse Analyst

Tallahassee, FL · On-site

The ideal candidate will have strong experience in data warehousing, ETL/ELT processes, Informatica tools, and business intelligence platforms, along with a passion for data-driven decision-making ...

AGS LLC

Data Warehouse Engineer

Duluth, GA

Job Overview AGS is seeking a Data Warehouse Engineer to support Business Intelligence in leading the migration, maintenance and continued enhancement of our on‑premise, multi‑system reporting ...

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Data Warehousing information

What are the key skills and qualifications needed to thrive as a Data Warehousing professional, and why are they important?

To thrive in Data Warehousing, you need expertise in data modeling, SQL, ETL processes, and a solid background in computer science or information systems. Familiarity with data warehouse platforms like Amazon Redshift, Snowflake, or Microsoft SQL Server, as well as ETL tools such as Informatica or Talend, and relevant certifications are highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help professionals collaborate and deliver actionable insights. These competencies are crucial for ensuring data integrity, optimizing storage solutions, and supporting informed business decisions.

What are the typical challenges faced by professionals in data warehousing roles when integrating data from multiple sources?

Professionals in data warehousing often face challenges such as ensuring data consistency and quality when integrating data from various sources, which may use different formats and standards. Other common hurdles include handling large volumes of data efficiently, maintaining data security and compliance, and managing the complexity of ETL (Extract, Transform, Load) processes. Collaboration with business analysts, IT teams, and data engineers is essential to accurately define requirements and troubleshoot integration issues. Successfully navigating these challenges requires strong problem-solving skills and a solid understanding of both business needs and technical solutions.

What is data warehousing?

Data warehousing is the process of collecting, storing, and managing large volumes of data from different sources in a central repository, called a data warehouse. This centralized storage allows organizations to analyze historical data, generate reports, and make informed business decisions. Data warehouses are optimized for query and analysis rather than transaction processing, and they often use specialized tools and technologies to ensure data is consistent, reliable, and easily accessible for business intelligence purposes.

What is the difference between Data Warehousing vs Data Analyst?

AspectData WarehousingData Analyst
Primary RoleDesigning, building, and managing data storage systemsAnalyzing data to generate insights and reports
Skills & CertificationsSQL, ETL tools, database management, data modelingSQL, data visualization, statistical analysis, Excel
Work EnvironmentData warehouses, database servers, cloud platformsBusiness units, reporting tools, dashboards
Industry UsageIT, data engineering, business intelligenceMarketing, finance, operations, business analysis

While Data Warehousing focuses on creating and maintaining data storage systems, Data Analysts utilize these systems to interpret data and support decision-making. Both roles often collaborate but serve different functions within data management and analysis processes.

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Data Warehousing jobs near you

Data Warehouse Engineer

Together AI

San Francisco, CA • On-site

$130K - $170K/yr

Full-time

Medical

Posted 18 days ago

Job description

About the Role
Together AI is building high-performance inference compute and the software platform around it. We're looking for an early-career Data Warehouse Engineer with strong fundamentals and high growth potential to grow into a technical lead over time. You'll contribute to designing and operating our data warehouse, ETL pipelines and orchestration, work on core data models and metrics, and help raise the bar on data quality and governance across the org - with mentorship and support from experienced engineers.
Requirements
  • 0-4 years of professional experience (or strong internships/projects) working with data warehouses, pipelines, or analytics engineering.
  • Solid SQL fundamentals - you're comfortable writing queries and have some exposure to window functions or dimensional modeling concepts.
  • Some hands-on experience with dbt or Airflow, or strong eagerness to learn - coursework and personal projects count.
  • Basic Python for scripting and data tooling; any exposure to Spark (PySpark/SQL) is a plus.
  • Familiarity with data modeling concepts like SCD2 or star schemas - even if only from coursework.
  • Good communication skills: you can ask clarifying questions, explain your reasoning, and work with stakeholders to understand their needs.
  • High standards for data quality, reliability, and maintainability - you care about getting things right.

Responsibilities
  • Contribute to building and maintaining a medallion/curated data warehouse stack (bronze/silver/gold) for product, usage, billing, and operational data.
  • Build and maintain Airflow orchestrated pipelines and dbt transformation projects (modular, tested, documented).
  • Help design analytics-ready models: SCD Type 2, star schemas, and appropriate normalization for upstream canonical layers.
  • Learn and apply Master Data Management (MDM) patterns (golden records, reference data, deduping, identity resolution).
  • Implement data quality checks (freshness, nulls, referential integrity, distribution drift, anomaly detection).
  • Contribute to data governance habits: data stewardship, ownership, SLAs, and clear definitions for "source of truth."
  • Help build and maintain a business semantic layer (consistent metric definitions, dimensions, and reusable logic) used by notebooks/BI.
  • Partner with stakeholders (Product, Engineering, Finance, GTM, Ops) to translate questions into durable datasets and metrics.
  • Use SQL, Python, and Spark where scale demands it; optimize for correctness, performance, and cost.

About Together AI
Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.
Compensation
We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $130,000 - $170,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Equal Opportunity
Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Please see our privacy policy at https://www.together.ai/privacy

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