Data Engineer

TechBlocks; New York (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

TechBlocks is seeking a Data Engineer to design and develop cloud-native data pipelines on Google Cloud, enabling reliable processing and ML model integration. You will collaborate with data scientists, engineers, and cross-functional teams to expand the enterprise data platform with scalable, high-performing data solutions.

The role requires strong collaboration in agile environments, familiarity with CI/CD, cloud infrastructure, and modern data engineering tools.

Qualifications

• 2+ years of experience in Big Data and Data Engineering for enterprise applications on public cloud
• Experience building cloud-native data pipelines using Python, Apache Airflow, Apache Spark, and Apache Beam
• Working knowledge of SQL and data warehousing concepts, including PostgreSQL and BigQuery
• Optionally, knowledge of Mongo and AlloyDB is a plus
• Comfortable using Azure DevOps or similar CI/CD tools, Git
• Experience with TDD, agile software development processes, and collaborating in multi-functional agile teams
• Communicate effectively with technical teams and non-technical stakeholders
• Bachelor's degree in Computer Science or related engineering discipline, or equivalent education/experience
• Optionally, experience building Docker images and deploying them to production; Kubernetes Pods/ConfigMaps/Deployments with Terraform
• Optionally, experience with C#, .NET Core, and microservices

Responsibilities

• Use the latest technology to build data pipelines and integrate machine learning models
• Build and expand our data platform
• Develop applications that run on a Google Cloud-based infrastructure

Skills

Python

Apache Airflow

Apache Spark

Apache Beam

SQL

BigQuery

PostgreSQL

CI/CD

Git

Terraform

C#

NET Core

Microservices

TDD

Agile

Azure DevOps

Education

Bachelor's degree in Computer Science or related engineering discipline

Tools

Docker

Kubernetes

Terraform

MongoDB

AlloyDB

Job description

About The Role

We are seeking a talented Data Engineer with hands‑on experience in building scalable data pipelines and modern cloud‑based data platforms. The ideal candidate will have experience working with Python and big data technologies such as Apache Airflow, Apache Spark, and Apache Beam, along with strong knowledge of SQL and data warehousing concepts.

Role Details

Role: Data Engineer

Location: New York, NY

Type: Full Time - Contract

In this role, you will design and develop cloud‑native data pipelines on Google Cloud, enabling reliable data processing and integration of machine learning models. You will work closely with data scientists, engineers, and cross‑functional teams to build and expand our enterprise data platform while ensuring high performance, scalability, and reliability of data solutions.

The position requires strong collaboration skills, experience working in agile development environments, and familiarity with CI/CD practices, cloud infrastructure, and modern data engineering tools.

Responsibilities

• Use the latest technology to build data pipelines and integrate machine learning models
• Build and expand our data platform
• Develop applications that run on a Google Cloud‑based infrastructure

Qualifications

• 2+ years of experience in Big Data and Data Engineering, building enterprise‑level applications in a public cloud, preferably Google Cloud
• Experience building cloud‑native data pipelines using Python, Apache Airflow, Apache Spark, and Apache Beam
• Working knowledge of SQL and data warehousing concepts, including PostgreSQL and BigQuery
• Optionally, knowledge of Mongo and AlloyDB is a plus
• Comfortable using Azure DevOps or similar CI/CD tools, Git
• Experience with TDD, agile software development processes, and collaborating in multi‑functional agile teams
• Communicate effectively with technical teams and non‑technical stakeholders
• Bachelor's degree in Computer Science or related engineering discipline, or equivalent combination of education and experience
• Optionally, experience building Docker images and deploying them to a production environment. Integrate Docker container orchestration framework using Kubernetes by creating pods, config maps, and deployments using Terraform
• Optionally, experience with C#, .NET core, and microservices