About hirequest
Welcome to hirequest, a forward‑thinking technology partner that empowers businesses to unlock the full potential of their data. With a global footprint and a culture rooted in innovation, collaboration, and continuous learning, hirequest is redefining how enterprises harness information to drive smarter decisions. Whether you’re a seasoned data professional or an ambitious newcomer, you’ll find a place where curiosity is celebrated, ideas are turned into products, and impact is measured in real‑world outcomes.
Why This Role Is a Game‑Changer
As a Senior Data Engineer on our Remote, WFH team, you’ll be at the heart of hirequest’s data‑driven transformation. Your work will shape the architecture that powers analytics, reporting, and AI initiatives for clients across finance, healthcare, retail, and more. You’ll collaborate with cross‑functional teams, mentor junior engineers, and influence the direction of our data platform. In return, you’ll receive a competitive hourly rate of $35, flexible scheduling, and the freedom to work from anywhere.
Key Responsibilities
- Design, build, and maintain scalable data pipelines that ingest, transform, and load data from diverse sources into our cloud data lake.
- Collaborate with data scientists, analysts, and product managers to translate business requirements into robust data solutions.
- Implement ETL/ELT processes using modern tools such as Azure Data Factory, Databricks, and Snowflake.
- Ensure data quality through automated testing, monitoring, and alerting.
- Drive performance optimization for batch and streaming workloads, reducing latency and cost.
- Champion best practices in cloud architecture, security, and governance across all data assets.
- Participate in continuous integration and continuous delivery (CI/CD) pipelines for data workflows.
- Mentor junior engineers and share knowledge through code reviews, workshops, and documentation.
- Stay current with emerging data technologies and evaluate their applicability to hirequest’s platform.
Essential Qualifications
- Minimum 3 years of experience in data engineering or related roles.
- Proficiency in SQL, Python, and cloud data services (Azure, AWS, or GCP).
- Hands‑on experience with data lake, data warehouse, and streaming technologies such as Azure Data Lake Storage, Snowflake, Databricks, and Kafka.
- Strong understanding of data modeling, schema design, and data governance.
- Experience with CI/CD tools (GitHub Actions, Azure DevOps, Jenkins) and infrastructure as code (Terraform, ARM templates).
- Excellent problem‑solving skills and a passion for building reliable, maintainable systems.
- Strong communication skills, with the ability to explain technical concepts to non‑technical stakeholders.
Preferred Qualifications
- Advanced knowledge of big data frameworks (Spark, Flink, Hadoop).
- Experience with data visualization and BI tools (Power BI, Tableau, Looker).
- Certifications such as Microsoft Certified: Azure Data Engineer Associate or equivalent.
- Background in DevOps practices and cloud security.
- Prior experience in a remote-first organization with a distributed engineering team.
What You’ll Gain
Career Growth & Learning
At hirequest, your professional development is a top priority. You’ll have access to a curated learning library, internal tech talks, and mentorship programs. As you master new tools and frameworks, you’ll be positioned for future roles such as Lead Data Engineer, Data Architect, or Head of Analytics.
Work Environment & Culture
Our remote, WFH model gives you the flexibility to balance work and life while staying connected to a vibrant, collaborative community. Weekly virtual coffee chats, hackathons, and cross‑team projects keep the energy high and the learning continuous. We celebrate diversity, inclusion, and the unique perspectives each team member brings.
Compensation & Perks
- Hourly Rate: $35/hr, with potential for overtime and project bonuses.
- Comprehensive health, dental, and vision benefits available after a short probation period.
- Access to mental health resources, wellness programs, and flexible time off.
- Company‑sponsored technology stipend for home office setup.
- Participation in a 401(k) plan with company match after one year.
- Optional remote work stipend to cover home office expenses.
- Annual learning budget for conferences, courses, or certifications.
How to Apply
Ready to join hirequest and shape the future of data engineering? Click the link below to submit your application, resume, and a brief cover letter outlining why you’re the perfect fit for this role.
We Can’t Wait to Meet You
At hirequest, we believe that the best solutions come from people who are curious, collaborative, and committed to excellence. If you’re excited about building scalable data platforms, working with cutting‑edge technologies, and making a tangible impact from anywhere in the world, we want to hear from you. Join us and turn data into insight, insight into action, and action into success.
Apply for this job