or apply directly on tires-easy.com's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 2 days tires-easy.com's roles stay open a median of 44 days
- Reposted
- No
- Salary listed
- No 0% of tires-easy.com's roles list one
- Ghost-job risk at tires-easy.com
- high 4 stale, 3 reposted of 11 open
- Hiring momentum
- 21 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from tires-easy.com's own greenhouse board since 2026-08-03. Full hiring picture for tires-easy.com.
About this role
The Data Warehouse Engineer will be responsible for designing, building, and optimizing data infrastructure within the Business Intelligence team. This role involves developing and maintaining scalable data pipelines, ensuring data quality and performance, and collaborating with various stakeholders to support data-driven decision-making. The engineer will also enhance and automate data workflows using modern tools and frameworks.
- benefits
- 1/5
- freshness
- 5/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of tires-easy.com as an employer.
What you need
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related technical field (Master’s preferred)
- 3+ years of experience designing, developing, and maintaining data warehouses and ETL/ELT workflows in production environments
- Proficiency in SQL and strong experience with data modeling, schema design, and performance optimization
- Proven hands-on experience with modern data engineering tools (e.g. Airflow, dbt) and AWS cloud-based data platforms (e.g., Snowflake, Redshift)
- Hands-on experience (on business projects) with programming languages such as: Python, C/C++/Java
- Strong analytical and problem-solving skills, with the ability to work collaboratively across cross-functional teams in a fast-paced, data-driven environment
Nice to have
- Experience using: Excel, Google Sheets, Slack
- AirFlow, dbt, Linux, PostGre
- AWS cloud practitioner or engineer certificates are a plus
- High speed Wi-Fi connection
- Be able to work in US timezone shifts (e.g., EST, CST, MST, or PST).
Worth weighing
- No salary listed
- Must submit resume in English
- Requires working in US timezone shifts, which may not suit all candidates.
Summarised from tires-easy.com's posting. Read the full original.
Listed by tires-easy.com on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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