IT Data Engineer

TekWissen ®; St. Louis (MO); Sur place; USD 110 000 - 170 000; Plein temps

Avantages offerts par ce poste

Equal opportunity employer

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

7+ years exp

Go language

REST APIs

Kafka streaming

Unit testing

Docker

Cloud platforms

Data modeling

Protobufs

gRPC

Kubernetes

Dataflow / Beam

Bioinformatics

Outils

Docker

Kafka

Kubernetes

gRPC

Protobufs

Cloud (AWS/Azure/GCP)

Dataflow/Beam

GKE

Description du poste

TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide.

Job Description

What you will do is why you should join us

• Be a critical senior member of a data engineering team focused on creating distributed analysis capabilities around a large variety of datasets
• Take pride in software craftsmanship, apply a deep knowledge of algorithms and data structures to continuously improve and innovate
• Work with other top-level talent solving a wide range of complex and unique challenges that have real world impact
• Explore relevant technology stacks to find the best fit for each dataset
• Pursue opportunities to present our work at relevant technical conferences
• Project your talent into relevant projects. Strength of ideas trumps position on an org chart

If you share our values, you should have

• At least 7 years experience in software engineering
• At least 2 years experience with Go
• Proven experience (2 years) building and maintaining data-intensive APIs using a RESTful approach
• Experience with stream processing using Apache Kafka
• A level of comfort with Unit Testing and Test Driven Development methodologies
• Familiarity with creating and maintaining containerized application deployments with a platform like Docker
• A proven ability to build and maintain cloud based infrastructure on a major cloud provider like AWS, Azure or Google Cloud Platform
• Experience data modeling for large scale databases, either relational or NoSQL
• Experience with protocol buffers and gRPC
• Experience with: Google Cloud Platform, Apache Beam and or Google Cloud Dataflow, Google Kubernetes Engine or Kubernetes
• Experience working with scientific datasets, or a background in the application of quantitative science to business problems
• Bioinformatics experience, especially large scale storage and data mining of variant data, variant annotation, and genotype to phenotype correlation

TekWissen® Group is an equal opportunity employer supporting workforce diversity.