Data Engineer (Senior) ID40199

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

Why join us

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :)

About the role

We are looking for a Senior Data Engineer to take ownership of our data infrastructure, designing and optimizing high-performance, scalable solutions. You’ll work with AWS and big data frameworks like Hadoop and Spark to drive impactful data initiatives across the company.

What you will do

• Design, build, and maintain large-scale data pipelines and data processing systems in AWS;

• Develop and optimize distributed data workflows using Hadoop, Spark, and related technologies;

• Collaborate with data scientists, analysts, and product teams to deliver reliable and efficient data solutions;

• Implement best practices for data governance, security, and compliance;

• Monitor, troubleshoot, and improve the performance of data systems and pipelines;

• Mentor junior engineers and contribute to building a culture of technical excellence;

• Evaluate and recommend new tools, frameworks, and approaches for data engineering.

  
  

Must haves

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field;

• 5+ years of experience in data engineering, software engineering, or related roles;

• Strong hands-on expertise with AWS services (S3, EMR, Glue, Lambda, Redshift, etc.);

• Deep knowledge of big data ecosystems, including Hadoop (HDFS, Hive, MapReduce) and Apache Spark (PySpark, Spark SQL, streaming);

• Strong SQL skills and experience with relational and NoSQL databases;

• Proficiency in Python, Java, or Scala for data processing and automation;

• Experience with workflow orchestration tools (Airflow, Step Functions, etc.);

• Solid understanding of data modeling, ETL/ELT processes, and data warehousing concepts;

• Excellent problem-solving skills and ability to work in fast-paced environments;

• Upper-Intermediate English level.

Nice to haves

• Experience with real-time data streaming platforms (Kafka, Kinesis, Flink);

• Knowledge of containerization and orchestration (Docker, Kubernetes);

• Familiarity with data governance, lineage, and catalog tools;

• Previous leadership or mentoring experience.

The benefits of joining us

• Professional growth

Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps

• Competitive compensation

We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities

• A selection of exciting projects

Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands

• Flextime

Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

Meet Our Recruitment Process

Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback:

• Short online form to confirm basic requirements

• 30–60 minute skills assessment

• 5-minute introduction video

Synchronous stage – Live interviews

• Technical interview with our engineering team (scheduled at your convenience)

• Final interview with your future teammates

If it’s a match — you’ll get an offer!