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About hirevault
hirevault is a global leader in financial technology, renowned for turning complex data into actionable insights that drive business decisions. With a culture rooted in innovation, collaboration, and continuous learning, hirevault empowers its teams to build solutions that shape the future of finance. Whether you’re a seasoned engineer or an emerging talent, you’ll find a dynamic environment where your ideas matter and your growth is a top priority.
Why Join hirevault?
At hirevault, we believe that data is the new currency. Our Big Data Engineering team is at the forefront of transforming raw information into strategic assets. As a Senior Engineer – Big Data, you will be instrumental in designing, building, and optimizing data pipelines that power our global product suite. You’ll collaborate with cross‑functional teams, mentor junior engineers, and influence the direction of our data architecture.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines using Hadoop, Spark, Hive, and PySpark.
- Write clean, efficient, and well‑documented code in Java, Python, or Scala.
- Lead code reviews, unit testing, and continuous integration to ensure high quality deliverables.
- Collaborate with product managers and data scientists to translate business requirements into technical solutions.
- Optimize SQL queries and data models for performance and cost‑efficiency.
- Implement data governance, security, and compliance best practices across all pipelines.
- Mentor junior engineers and foster a culture of knowledge sharing.
- Stay current with emerging big‑data technologies and propose innovative solutions.
- Participate in on‑call rotations and incident response to maintain system reliability.
Essential Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Minimum of 2 years of professional experience in big‑data engineering.
- Proficiency in Hadoop ecosystem (HDFS, YARN, Hive, Spark) and experience with PySpark or Scala.
- Strong SQL skills, including HiveQL and Spark SQL.
- Experience with UNIX shell scripting and automation.
- Hands‑on experience with version control (Git) and CI/CD pipelines.
- Solid understanding of data warehousing concepts and ETL processes.
- Excellent problem‑solving skills and a passion for clean, maintainable code.
Preferred Qualifications
- Experience with cloud platforms (AWS, GCP, Azure) and data services such as Redshift, BigQuery, or Snowflake.
- Knowledge of stream processing frameworks (Kafka, Flink, or Spark Streaming).
- Familiarity with NoSQL databases (HBase, MongoDB, Couchbase).
- Experience building microservices and containerized deployments (Docker, Kubernetes).
- Background in financial data analytics or regulatory compliance.
- Strong communication skills and ability to translate technical concepts to non‑technical stakeholders.
Skills & Competencies
- Advanced programming in Java, Python, or Scala.
- Data modeling, schema design, and performance tuning.
- Distributed systems architecture and fault tolerance.
- Agile development practices and Scrum methodology.
- Strong analytical mindset with a data‑driven approach.
- Leadership and mentorship capabilities.
- Adaptability to fast‑changing priorities and emerging technologies.
Career Growth & Learning Opportunities
hirevault is committed to your professional development. As a Senior Engineer, you’ll have access to:
- Mentorship programs with industry veterans.
- Internal training courses on advanced big‑data tools and cloud services.
- Conferences, workshops, and hackathons to broaden your skill set.
- Clear career pathways to lead engineering teams or specialize in data science.
- Opportunities to contribute to open‑source projects and industry standards.
Work Environment & Culture
hirevault values diversity, inclusion, and work‑life balance. Our remote‑first model gives you the flexibility to work from anywhere while staying connected through virtual collaboration tools. You’ll join a high‑performing, cross‑functional team that celebrates successes, learns from failures, and continuously pushes the envelope of what’s possible with data.
Compensation & Benefits
Hourly Rate: $20–$30 per hour (competitive for remote roles in the Phoenix area) Benefits: Health, dental, and vision insurance; 401(k) with company match; generous paid time off; professional development stipend; flexible work hours; and a supportive, inclusive culture.
How to Apply
Ready to take the next step in your career? Click the link below to submit your application and join hirevault’s mission to transform data into value.
We Look Forward to Hearing From You!
If you’re passionate about building robust data pipelines, thrive in a collaborative environment, and want to make a tangible impact on the financial technology landscape, hirevault is the place for you. Join us and help shape the future of data‑driven decision making.
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