Senior Data Engineer: Scalable Analytics & Pipelines

TekWissen ®

St. Louis (MO)

On-site

USD 110,000 - 170,000

Full time

11 hours ago
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Benefits offered by this job

Equal opportunity employer

Job summary

TekWissen is seeking a senior data engineer to join a data engineering team focused on distributed analytics across diverse datasets. You will craft scalable APIs and services, applying advanced algorithms and data structures to solve complex problems.

The role requires 7+ years in software engineering, 2+ years in Go, RESTful APIs, Kafka streaming, Docker, cloud infrastructure (AWS/Azure/GCP), data modeling for large-scale databases, and experience with Protobufs/gRPC, Kubernetes, and

Qualifications

  • At least 7 years of software engineering experience.
  • At least 2 years of Go experience.
  • Proven experience (2 years) building and maintaining data-intensive RESTful APIs.
  • Experience with stream processing using Apache Kafka.
  • Familiarity with unit testing and Test Driven Development.
  • Experience with containerized deployments using Docker.
  • Experience building cloud infrastructure on AWS, Azure or Google Cloud Platform.
  • Experience with data modeling for large-scale databases (relational or NoSQL).
  • Experience with Protobufs and gRPC.
  • Experience with GCP, Apache Beam/Dataflow, and Kubernetes.
  • Experience with scientific datasets or quantitative science applications.
  • Bioinformatics experience, including large-scale storage and data mining of variant data.

Responsibilities

  • Be a senior member of a data engineering team focused on distributed analytics across many datasets.
  • Apply software craftsmanship and deep knowledge of algorithms to improve and innovate.
  • Collaborate with top engineers on complex real-world challenges.
  • Explore tech stacks to fit each dataset and optimize pipelines.
  • Present work at relevant technical conferences.
  • Contribute talent to projects; ideas matter more than org position.

Skills

7+ years exp
Go language
REST APIs
Kafka streaming
Unit testing
Docker
Cloud platforms
Data modeling
Protobufs
gRPC
Kubernetes
Dataflow / Beam
Bioinformatics

Tools

Docker
Kafka
Kubernetes
gRPC
Protobufs
Cloud (AWS/Azure/GCP)
Dataflow/Beam
GKE

Job description

TekWissen is seeking a senior data engineer to join a data engineering team focused on distributed analytics across diverse datasets. You will craft scalable APIs and services, applying advanced algorithms and data structures to solve complex problems.

The role requires 7+ years in software engineering, 2+ years in Go, RESTful APIs, Kafka streaming, Docker, cloud infrastructure (AWS/Azure/GCP), data modeling for large-scale databases, and experience with Protobufs/gRPC, Kubernetes, and

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