Data Engineer – Global Team

YipitData

Data Engineer responsible for building and maintaining data pipelines at YipitData. Collaborate with engineering teams while focusing on data reliability and performance in a remote capacity.

Posted 7/13/2026full-timeRemote • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining end-to-end data pipelines using PySpark and SQL, while effectively collaborating with stakeholders to align data strategies with business needs. Proficient in utilizing Databricks and other ETL tools to create AI-ready analytical datasets.

Highest-signal resume keywords

Data Pipeline DevelopmentPySpark ProficiencyDatabricks ExpertiseSQL SkillsETL Tooling Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData ModelingPipeline BuildingAI-Ready Dataset CreationComplex Data Issue ResolutionLarge-Scale Dataset ManagementDelta LakeAirflowDbtSnowflake

Soft Skills

CollaborationCommunicationSelf-StarterProblem SolvingAdaptability

Tools & Technologies

DatabricksPySparkSQLETL ToolsDelta

Industry Keywords

Data EngineeringData TransformationBusiness Logic IntegrationAnalytical DatasetsStakeholder Collaboration

Tech Stack

Tools & technologies

AirflowETLPySparkSparkSQL

About the role

Key responsibilities & impact

Report directly to a Manager of Data Engineering, who will provide significant, hands-on training on cutting-edge data tools and techniques.
Build and maintain end-to-end data pipelines.
Help with setting best practices for our data modeling and pipeline builds.
Create AI-ready analytical datasets designed with the structure, metadata, documentation, and business context needed for effective use by AI agents and insight-driven applications.
Become an expert at solving complex data pipeline issues using PySpark and SQL.
Collaborate with stakeholders to incorporate business logic into our central pipelines.
Deeply learn Databricks, Spark, AI, and other ETL toolings developed internally.

Requirements

What you’ll need

You hold a Bachelor’s or Master’s degree in Computer Science, STEM, or a related technical discipline.
You have 4+ years of experience as a Data Engineer or in other technical functions.
You are excited about solving data challenges and learning new skills.
You have a great understanding of working with data or building data pipelines.
You are comfortable working with large-scale datasets using PySpark, Delta, and Databricks.
You understand business needs and the rationale behind data transformations to ensure alignment with organizational goals and data strategy.
You are eager to constantly learn new technologies.
You are a self-starter who enjoys working collaboratively with stakeholders.
You have exceptional verbal and written communication skills.
Nice to have: Experience with Airflow, dbt, Snowflake, or equivalent.

Benefits

Comp & perks

We care about your personal life and we mean it. We offer vacation time, parental leave, team events, learning reimbursement, and more!
Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust.