Analytics Engineer

deepsense.ai; Town of Poland (NY); On-site; 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

Employment type:

B2B

Operating mode:

Hybrid, Remote

Location:

Poland

Atdeepsense.ai, we won’t just build AI solutions – we’ll shape how companies around the world use them.

• Work with partners like OpenAI, NVIDIA, Anyscale, LangChain, Crusoe, and ElevenLabs.
• Explore and apply the newest tech: LLMs & RAG, MLOps, Edge Solutions, Computer Vision, Predictive Analytics.
• Tackle challenges in software & tech, pharma & healthcare, manufacturing, retail, telecoms & media.
• Contribute to open-source projects – just take a look at our latest solution, ragbits, an agentic RAG framework with over 1.6k stars on GitHub.

And the best part of working at deepsense.ai?

• Spread your wings with clear career paths, technical or leadership.
• Collaborate with 100+ AI experts with 15+ years of applied AI experience, as well as PhD-level researchers with academic backgrounds.
• Tap into domain expertise and knowledge sharing whenever you need it.

What we believe in?

• Team Strength – sharing and exchanging knowledge is key to our daily work
• Accountability – we take responsibility for the tasks entrusted to us so that ultimately the client receives the best possible quality
• Balance – we value work‑life balance
• Commitment – we want you to be fully part of the team
• Openness – we don’t want you to be locked into one solution, we want to look for alternatives, explore new possibilities

Responsibilities

• Designing, developing, and maintaining data pipelines (ETL/ ELTs).
• Working with a variety of data sources (such as streaming data, batch data, data from production systems, data from ML models, time-series data).
• Ensuring the stability and performance of data pipelines, including monitoring and troubleshooting.
• Collaborating with Data Scientists, Software Engineers, and other specialists to implement data-driven solutions.
• Analyzing new potential data sources and integrating them into existing pipelines.
• Assisting DevOps/MLops in configuring system infrastructure in “Infrastructure as Code” manner (including deployment of your code solution).
• Creating meaningful insights and visualizations from the processed data.
• Gathering requirements, planning your own work, and prioritizing.

You must have

• 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 any of the 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, etc.).
• Basic experience in DevOps (Terraform/CloudFormation/Pulumi).
• Ability to work both in a team and independently, and a proactive approach to problem-solving.

You may have

• Experience with Hierarchical/Graph Datasets
• Experience with Google BigQuery, Redshift/Glue/S3/Lambda/Athena.
• Familiarity with Snowflake, Databricks.
• Any experience with data integration or orchestration platforms, such as: Airbyte, Fivetran, Airflow, Dagster, etc.
• Experience with machine learning.
• Experience with CI/CD pipelines such as Jenkins.

We offer

• Opportunity to work on cutting-edge AI projects with a diverse range of clients and industries, driving solutions from development to production.
• Collaborative and supportive work environment, where you can grow and learn from a team of talented professionals.
• An opportunity to participate in conferences and workshops around the world.
• An opportunity to participate in Tech Talks (internal training and seminar sessions).
• Flexible working hours and remote work options.

Impactful AI projects

• Tackle industry‑grade challenges: from LLMs for drug discovery to GenAI on edge devices, AI voice bots, and open‑source initiatives with global reach.
• Collaborate directly with our partners for early access to tools before public release, testing in production, and bringing know‑how from AI leaders into our projects.
• Contribute to open‑source initiatives like ragbits (1.6k+ stars on GitHub), adopted and appreciated by the ML community.

Growth & Knowledge Sharing

• Join AI specialists who share expertise through Tech Talks, workshops, and internal trainings.
• Present your work at conferences, run experiments, and stay ahead of the curve.
• Choose your own career path and get support for your development.

Flexibility & Culture

• Work fully remote, from one of our two offices (Warsaw, Bydgoszcz), or from coworking spaces in Poznań, Łódź, Wrocław, and Gdańsk.
• Enjoy flexible working hours.
• Benefit from a culture that prevents burnout and supports balance in daily work.
• Start with onboarding – from day one you are matched with a buddy.
• Access a premium AI development suite: OpenAI ChatGPT, Claude, Gemini Advanced, GitHub Copilot, Cursor AI IDE, Claude Code, NotebookLM, plus the latest emerging AI tools to support your daily work.
• Work in agile teams with fast decision‑making and space to try out your ideas.

Basic Benefits

• Get private medical care and a Multisport card.
• Use our company library, attend onsite English lessons, and benefit from a dedicated training budget.
• Join free team lunches and enjoy fresh fruit & snacks.
• Take part in team‑building activities and holiday celebrations.