✦ Luna Orbit — Data & Analytics

Data Engineer

at Gopuff

📍 Remote, US Remote 💰 $118K – $148K USD / year Posted March 20, 2026
Salary $118K – $148K USD / year
Type Full-Time
Experience senior
Exp. Years 3-5 years
Education 3-5 years of experience in data engineering or software engineering with a strong focus on data platform development
Category Data & Analytics

This role involves designing and maintaining scalable data pipelines and platforms to support analytics, experimentation, and machine learning initiatives.

  • Design data pipelines
  • Maintain data platform
  • Implement real-time streaming
  • Collaborate with teams
  • Ensure data quality

Stack includes Python, SQL, cloud data warehouses like Snowflake and BigQuery, orchestration with Airflow, streaming with Kafka and Spark, container orchestration with Kubernetes, and infrastructure automation with Terraform.

The ideal candidate is a senior data engineer with 3+ years experience in building scalable data pipelines, proficient in Python, SQL, and cloud data warehouses like Snowflake or BigQuery, with strong knowledge of orchestration and streaming technologies.

PythonSQLbuilding data pipelinescloud data warehousesorchestration tools
real-time data pipelinesstreaming architecturesKubernetesTerraformDevOps
SnowflakeBigQueryDatabricksApache AirflowKafkaKinesisKubernetesTerraform
PythonSQLSnowflakeBigQueryDatabricksDAG-based orchestratorsAirflowKafkaKinesisApache BeamFlinkSpark StreamingKubernetesTerraform
PythonSQLSnowflakeBigQueryDatabricksDAG-based orchestratorsAirflowKafkaKinesisEvent HubsApache BeamFlinkSpark StreamingKubernetesArgoCDHelmIstioDevOpsTerraform
communicationcollaborationproblem-solvinganalytical thinkingteamwork
Industry E-commerce / Technology / Data Platforms
Job Function Build and optimize data pipelines and platforms for analytics and ML
Role Subtype Data Engineer
Tech Domains Python, SQL / PostgreSQL, Kubernetes, Terraform, Apache Beam
data engineerPythonSQLdata pipelinescloud data warehousesSnowflakeBigQueryDatabricksAirflowKafkaKinesisKubernetesTerraformstreaming pipelinesDevOpsreal-time datadata platformETLdata architecture

Lack of experience with cloud data warehouses, No experience with data pipeline orchestration tools, Insufficient knowledge of streaming architectures, No proficiency in Python or SQL

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