Analytics Engineer — AI Data Pipelines (Remote)

deepsense.ai; Town of Poland (NY); Hybrid; USD 80,000 - 120,000; Full time

Benefits offered by this job

Private medical care

Multisport card

Company library

Onsite English lessons

Dedicated training budget

Free team lunches

Fresh fruit & snacks

Team-building activities

Job summary

A technology solutions company in New York is seeking a candidate to design and maintain data pipelines while collaborating with a team of AI experts. The ideal applicant should have a keen interest in AI/ML, strong Python and SQL skills, and experience with data technologies. This position offers a hybrid work model and opportunities for professional growth and involvement in impactful AI projects.

Qualifications

• Interest in the AI/ML area.
• Good understanding of Python and SQL.
• Experience with data-wrangling libraries such as Pandas or Polars.
• Good understanding of statistics and data analysis.
• Experience with major SQL databases (PostgreSQL preferred).
• Experience with cloud computing platforms (Azure/GCP/AWS).
• Experience with containerization technologies (Docker/Kubernetes).
• Experience with ETL and Big Data elements (Spark, Kafka).
• Basic experience in DevOps (Terraform/CloudFormation/Pulumi).
• Ability to work both in a team and independently, and a proactive approach to problem-solving.

Responsibilities

• Design and maintain data pipelines (ETL/ELT).
• Work with various data sources including streaming and batch data.
• Ensure stability and performance of data pipelines.
• Collaborate with Data Scientists and Software Engineers.
• Analyze potential data sources and integrate them.
• Assist DevOps/MLops in configuring system infrastructure.
• Create insights and visualizations from processed data.
• Gather requirements and plan work.

Skills

Interest in AI/ML

Good understanding of Python

Good understanding of SQL

Experience with data-wrangling libraries (Pandas, Polars)

Good understanding of statistics and data analysis

Experience with PostgreSQL

Experience with cloud computing (Azure/GCP/AWS)

Experience with Docker

Experience with Kubernetes

Experience with ETL and Big Data (Spark, Kafka)

Basic experience in DevOps (Terraform/CloudFormation/Pulumi)

Ability to work independently

Proactive problem-solving

Tools

Docker

Kubernetes

PostgreSQL

Azure

GCP

AWS

Terraform

CloudFormation

Job description

A technology solutions company in New York is seeking a candidate to design and maintain data pipelines while collaborating with a team of AI experts. The ideal applicant should have a keen interest in AI/ML, strong Python and SQL skills, and experience with data technologies. This position offers a hybrid work model and opportunities for professional growth and involvement in impactful AI projects.