Remote Data Engineer - Build AI-Ready Pipelines

Cogniify, Inc.; Northern (KY); Hybrid; USD 105,000 - 116,000; Full time

Benefits offered by this job

Unlimited PTO

Parental leave

Medical, Dental & Vision

Stock Purchase Program

Team building events

Mentorship opportunities

Job summary

Cogniify, Inc. is hiring a Mid Level Data Engineer to build reliable data pipelines and analytics datasets for reporting, business decisions and AI initiatives.

You will own data work from ingestion through transformation and delivery, collaborating with analysts, data scientists and engineers to ensure accuracy and accessibility of large datasets. This hands-on role emphasizes SQL, Python, dbt and cloud data platforms, with a focus on scalable ETL/ELT pipelines, data quality, and cost

Qualifications

• 3 to 6 years of professional experience in data engineering, analytics engineering or a related data role with production delivery.
• Strong SQL skills and experience writing complex transformations and improving query performance.
• Hands-on experience with a cloud data platform (Snowflake preferred; Databricks/BigQuery/Redshift also relevant).
• Production experience with dbt for transformation, testing and documentation.
• Working knowledge of Python and Pandas or PySpark for data processing.
• Experience scheduling pipelines with Airflow, Dagster, Prefect or similar orchestration tool.

Responsibilities

• Build and maintain ETL/ELT pipelines using SQL, Python, dbt and tools such as Apache Spark, PySpark or Airflow.
• Ingest data from databases, APIs, SaaS tools and event streams using connectors or custom pipelines.
• Develop tested data models and curated datasets in Snowflake, Databricks, BigQuery or Redshift for reporting and self-service analytics.
• Work with data scientists and ML engineers to prepare feature datasets for model training and inference.
• Prepare and refresh structured business data that can support AI search, retrieval-augmented generation (RAG) or other Generative AI applications.
• Build clear dashboards and analyses in Tableau, Looker, Power BI or similar tools when the work calls for it.
• Add data quality checks, monitoring and documentation so teams can trust the data and identify pipeline issues early.
• Improve query speed and pipeline cost; use Git, code reviews and CI/CD to release changes safely.
• Help manage data access, lineage and sensitive information, including personally identifiable information (PII).

Skills

SQL

Python

dbt

Apache Spark

PySpark

Airflow

Data modeling

ETL/ELT

Pandas

Tools

Snowflake

Databricks

BigQuery

Redshift

Airflow

dbt

Job description

Cogniify, Inc. is hiring a Mid Level Data Engineer to build reliable data pipelines and analytics datasets for reporting, business decisions and AI initiatives.

You will own data work from ingestion through transformation and delivery, collaborating with analysts, data scientists and engineers to ensure accuracy and accessibility of large datasets. This hands-on role emphasizes SQL, Python, dbt and cloud data platforms, with a focus on scalable ETL/ELT pipelines, data quality, and cost