Remote Data Engineer — Real-Time Pipelines & Equity

HRCap, Inc.; United States; Remote; USD 110,000 - 145,000; Full time

Benefits offered by this job

Performance bonus

Equity shares

Premium health plan

Remote work option

Job summary

HRCap, Inc. is seeking a data engineer to design, build, and maintain scalable data pipelines and cloud infrastructure for a high-growth, data-centric tech enterprise.

You will enable downstream analysts and production AI models with clean, optimized data, working with Spark, Airflow, Snowflake, Kafka, and DBT, while owning data quality, governance, and streaming/batch pipelines. This full-time role offers competitive compensation in the US, with performance bonus, equity, health perks, and

Qualifications

• 2 to 5 years of professional experience as a data engineer or backend platform developer in a production cloud environment.
• Expert-level SQL with query optimization, window functions, indexing, and profiling.
• Strong production code experience in Python, Scala, or Java.
• Hands-on experience with AWS or GCP cloud services.
• Experience with Spark, Hadoop, and Parquet formats.

Responsibilities

• Architect, write, and deploy resilient batch and streaming data pipelines using Python or Scala.
• Design and optimize schemas and partitions in cloud data warehouses (Snowflake, BigQuery, Redshift).
• Implement automated data quality testing and observability with tools like Great Expectations or Datadog.
• Create and maintain DAGs using Airflow, Prefect, or Dagster.
• Collaborate on data models and governance ensuring security/compliance.

Skills

Advanced SQL

Python/Scala/Java

Distributed systems

Education

Bachelor’s degree in Computer Science/Engineering/IS

Tools

Spark

Airflow

Snowflake

Kafka

DBT

BigQuery

Redshift

Job description

HRCap, Inc. is seeking a data engineer to design, build, and maintain scalable data pipelines and cloud infrastructure for a high-growth, data-centric tech enterprise.

You will enable downstream analysts and production AI models with clean, optimized data, working with Spark, Airflow, Snowflake, Kafka, and DBT, while owning data quality, governance, and streaming/batch pipelines. This full-time role offers competitive compensation in the US, with performance bonus, equity, health perks, and