Data Warehouse Engineer

1 week ago Be among the first 25 applicants

• 6+ years (senior) of experience with Data Warehouse Engineering. Should have been a part of building warehouse from scratch in a large scale enterprise environment.
• Strong Experience with MYSQL Relational Databases
• Knowledge with cloud-based data warehouses (open to Snowflake, Amazon RedShift, etc.). Ideally strong experience with multiple so can add perspective on which might be best fit.
• Python ETL Engineering Skills
• Experience with workforce / operations planning to gain insights from data to make business decisions

Top Skills' Details

Personality : Should be go-getter, good with ambiguity, down to earth, great communication, not afraid to collaborate and give ideas vs being order taker

Description

The Apple Store Online Operations team is seeking an Business / Data Analyst to join our Workforce Strategy & Analytics (WSA) group. We are looking for a highly skilled, data-driven professional with strong technical expertise in data architecture, data pipelines, and data governance. The ideal candidate will have a proven track record of designing and optimizing data systems that enable high-quality, scalable analytics to drive operational efficiency and continuous improvement. Join our team and help shape how data is utilized across the organization to optimize processes, improve performance, and foster a culture of data-driven decision-making.

In this role, you will leverage your expertise in data manipulation, ETL processes, and data integration to build a unified data foundation, serving as the single source of truth for ASO Operations business performance and operational metrics. You will collaborate closely with cross-functional teams to design, implement, and maintain robust data pipelines, ensuring the data is clean, scalable, and easily accessible for actionable decision-making. Additionally, you will play a critical role in developing and automating reporting systems that provide stakeholders with timely, accurate insights, enabling data-driven business outcomes and operational improvements.

Responsibilities

Define and standardize operational metrics for ASO Operations, ensuring data consistency and alignment across global teams, and building data pipelines that provide reliable, real-time visibility into key performance indicators (KPIs).

Design, build, and maintain scalable data pipelines to integrate new datasets from evolving business processes, working closely with cross-functional teams to ensure data flow is optimized for performance, reliability, and accessibility.

Develop and implement data strategies to enhance data infrastructure, ensuring the seamless integration of structured and unstructured data sources for comprehensive analysis and decision-making.

Perform quantitative analyses to identify data trends, correlations, forecasting patterns, and anomalies impacting KPIs. Collaborate with teams to ensure actionable insights, forecasts, and plans are derived from clean, integrated data that drive continuous optimization of ASO Operations.

Skills

Python, SQL, MySQL, data warehouse, data warehouse architecture, data warehouse ETL, ETL development, snowflake, redshift, KPI's

Bachelors degree in Computer Science or a technical degree, or 6+ years of relevant professional experience.

Experience with data engineering tools and technologies, including expertise in SQL (for data querying), Python (for ETL processes and data manipulation), and data pipeline frameworks.

Experience in designing, building, and maintaining data pipelines for data integration and data warehousing, ensuring high-quality, scalable, and reliable data flow across systems.

Excellent communication skills, with the ability to collaborate with cross-functional teams and translate complex data processes and systems into clear, actionable insights for technical and non-technical stakeholders.

Preferred Qualifications

Experience with data governance and implementing data quality frameworks, ensuring accurate and consistent data across the organization.

Familiarity with data modeling, ETL frameworks, and automation tools to manage large-scale data systems efficiently.

Knowledge and experience with data storage solutions such as relational databases (e.g. MySQL, PostgreSQL), NoSQL databases (e.g. MongoDB, Cassandra), and cloud-based data warehouses (e.g. Snowflake, Amazon Redshift).

Experience in using data engineering techniques to support workforce or operations planning, including developing data models and pipelines for operational insights and decision-making.

Strong understanding of business operations, with the ability to leverage advanced analytics to answer complex business management questions and identify root causes, driving informed, data-driven decisions and forecasts.

Pay And Benefits

The pay range for this position is $60.00 - $65.00 / hr.

Eligibility requirements apply to some benefits and may depend on your job

classification and length of employment. Benefits are subject to change and may be

subject to specific elections, plan, or program terms. If eligible, the benefits

Available For This Temporary Role May Include The Following

Workplace Type

This is a hybrid position in Austin,TX.

Application Deadline

This position is anticipated to close on Jun 17, 2025.

About TEKsystems And TEKsystems Global Services

Were a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. Were a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. Were strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. Were building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at .

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Information Technology

Industries

IT Services and IT Consulting

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