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Senior Data Engineer - Streaming Specialist

Clever Tech • USA, Canada, Mexico, El Salvador, Costa Rica, Dominican Republic, Panama, Puerto Rico, Guatemala, Honduras, Argentina, Colombia, Uruguay, Paraguay, Chile, Ecuador, Bolivia, Peru, Portugal, Spain, UK, Poland, France, Italy, Germany, Sweden, Romania, Ireland, Czechia, Netherlands, Turkey, Belgium, Switzerland, Denmark, Greece, Hungary, Bulgaria, Norway, Austria, Lithuania, Armenia, Georgia, Croatia, Malta, Moldova, Luxembourg, Albania, Bosnia and Herzegovina, Slovenia, South Africa, Uganda, Kenya, Morocco, Tunisia, Ghana, Zambia, Angola, Madagascar, Mauritius, Cameroon

Posted: October 4, 2026

Job Description

At Lumenalta, we partner with forward-thinking organizations to build technology solutions that scale, delight users, and accelerate business growth. Our global teams bring curiosity, commitment, and technical excellence to every project. We value transparency, autonomy, and impact, empowering every team member to do their best work.

We're seeking a Senior Data Engineer with deep expertise in distributed streaming architectures to join a high-impact enterprise engagement. This role is an opportunity to architect and deliver complex pipelines across multiple sources, from raw landing zones through to analytics-ready curated layers.

What You’ll Be Doing

Architect and implement data landing zones for high-volume streaming event data (Kafka Design and deploy end-to-end batch and streaming pipelines on AWS using Spark and Flink, with reliable state management, exactly-once semantics, and incremental processing.
Develop transformation logic to calculate descriptive statistics (min, max, avg, counts) at ingestion time and build advanced streaming pipelines in Flink *Tune and manage the Spark & Flink environments. Handle production operations, build automated backfill scripts. *Define and enforce data quality standards and pipeline observability practices across all layers of the platform.
Collaborate with cross-functional stakeholders to translate domain requirements into robust, scalable data architecture decisions.

What We’re Looking For

5+ years in data engineering with a proven track record of delivering production-grade pipelines in complex, high-volume enterprise environments.
Advanced hands-on experience with Apache Kafka at scale, including topic and partition design, consumer group management, schema registry, and operational tuning.
Strong background in Java or Python and advanced SQL to build production data pipelines using Apache Spark and Apache Flink for batch, stateful streaming, windowing, and complex transformation logic.
Strong AWS background across the data stack: MSK or Kinesis, EMR, Glue, S3, Lambda, and IAM.
Experience managing high-frequency time-series datasets and performing synchronization across misaligned temporal streams. *Familiarity with cloud cost management practices, including compute sizing, spend monitoring, and resource optimization. *Comfortable owning go-live activities: environment hardening, cutover planning, and post-deployment stabilization in critical production settings.

Nice to Have

Experience working with HIPAA-regulated data and PHI, including secure handling, anonymization, access controls, and audit requirements.

Why Lumenalta is an amazing place to work at

At Lumenalta, you can expect that you will:

Be 100% dedicated to one project at a time so that you can innovate and grow.
Be a part of a team of talented and friendly senior-level developers.
Work on projects that allow you to use leading tech.

Location

This is a fully remote position; however, candidates must be based in regions that align with the Pacific, Central, or Eastern U.S. time zones to ensure effective collaboration with client and team schedules.