Data Engineer

Weekday AI; United States; Remote; USD 21,000 - 32,000; Full time

Job summary

Weekday is seeking a Data Engineer to design, build, and maintain scalable data pipelines and analytics platforms. You will transform raw data into clean, structured datasets for data scientists and product teams, leveraging Python and SQL across our remote setup.

You will integrate Posthog for behavioral analytics, use LangChain for AI-driven data workflows, and build interactive dashboards with Streamlit. Collaboration with cross-functional remote teams and a focus on data governance are key.

Qualifications

• 3+ years of professional experience building data pipelines and analytics platforms in production.
• Strong programming skills in Python with reusable, testable code.
• Deep SQL knowledge and experience with PostgreSQL, BigQuery or Snowflake.
• Proven track record integrating Posthog for behavioral data ingestion/analysis.
• Hands-on experience with deepeval or similar model evaluation frameworks.
• Familiarity with LangChain for LLM-driven data workflows and prompt engineering.
• Solid understanding of Streamlit for interactive dashboards.
• Collaborates effectively with cross-functional teams in a remote, agile environment.
• Strong problem-solving mindset and focus on code quality and documentation.

Responsibilities

• Design and implement robust ETL pipelines ingesting data from diverse sources into a unified data warehouse.
• Build dashboards and visualizations with Streamlit for real-time insights across teams.
• Integrate Posthog event data into analytics pipelines and create segmented funnels.
• Develop LangChain workflows powering conversational AI over structured data.
• Use deepeval to automate ML model evaluation ensuring KPI alignment.
• Optimize SQL queries and database schemas for speed and scalability.
• Collaborate with data scientists to provision queryable data lakes and marts.
• Implement data governance, security, and privacy controls to meet regulations.
• Monitor pipeline health, troubleshoot failures, and document architecture and best practices.

Skills

Python

SQL

Posthog

LangChain

Streamlit

deepeval

Tools

Posthog

LangChain

Streamlit

deepeval

Job description

This role is for one of the Weekday's clients.

Salary range: Rs 2000000 - Rs 3000000 (ie INR 20-30 LPA)

Experience: 3+ yrs

Location: Remote

As a Data Engineer, you will design, build, and maintain scalable data pipelines and analytics platforms that drive business insights and product innovations. Leveraging your expertise in Python and SQL, you will transform raw data into clean, structured datasets, enabling data scientists and product teams to accelerate experimentation. You will integrate Posthog for behavioral analytics, employ deepeval for model validation workflows, and use Streamlit and LangChain to create interactive data tools and prompt-based applications. Your role will ensure data quality, performance, and compliance across the organization while collaborating closely with cross-functional stakeholders to translate data needs into technical solutions.

Key Responsibilities

• Design and implement robust ETL pipelines that ingest, transform, and store data from diverse sources into a unified data warehouse.
• Build and maintain dashboards and data visualizations using Streamlit to provide real-time insights for product, marketing, and engineering teams.
• Integrate Posthog event data into the analytics pipeline and create segmented user funnels for product optimization.
• Develop and maintain LangChain workflows to power conversational AI features that interact with structured data.
• Employ deepeval to automate evaluation of machine learning models, ensuring model performance aligns with business KPIs.
• Optimize SQL queries and database schemas for speed, reliability, and scalability across large datasets.
• Collaborate with data scientists to provision and manage queryable data lakes and data marts.
• Implement data governance, security, and privacy controls to comply with industry regulations.
• Monitor pipeline health, troubleshoot failures, and iterate on performance enhancements.
• Document data architecture, pipeline logic, and best practices for internal and external stakeholders.

What makes you a great fit

• 3+ years of professional experience building data pipelines and analytics platforms in a production environment.
• Strong programming skills in Python, with extensive experience in writing reusable, testable code.
• Deep knowledge of SQL and experience with modern database systems such as PostgreSQL, BigQuery, or Snowflake.
• Proven track record of integrating Posthog for behavioral data ingestion and analysis.
• Hands-on experience with deepeval or similar model evaluation frameworks.
• Familiarity with LangChain for building LLM-driven data workflows and prompt engineering.
• Solid understanding of Streamlit or comparable open-source toolkits for building interactive dashboards.
• Ability to collaborate effectively with cross-functional teams in a remote, agile environment.
• Strong problem-solving mindset, with the capacity to troubleshoot complex data issues under tight deadlines.
• Commitment to code quality, documentation, and continuous learning in the fast-moving data engineering landscape.