T

Data Engineer

talenthop • United State
Remote
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AI Summary

Build and maintain ETL/ELT data pipelines from ingestion through transformation and delivery to support analytics, AI, and business intelligence initiatives. Develop tested data models and curated datasets in cloud platforms while collaborating with data scientists and ML engineers on feature datasets and Generative AI applications. Requires 3-6 years of experience with strong SQL, Python, dbt, and cloud data platforms such as Snowflake, Databricks, BigQuery, or Redshift.

Key Highlights
Fully remote position in the data engineering and analytics space
Build and maintain ETL/ELT pipelines using SQL, Python, dbt, and orchestration tools
Support AI/ML initiatives including feature datasets and Generative AI applications
3-6 years of experience required with production data engineering delivery
Competitive compensation with annual bonus and employer stock purchase program
Key Responsibilities
Build and maintain ETL/ELT pipelines using SQL, Python, dbt, and tools like Apache Spark, PySpark, or Airflow
Ingest data from databases, APIs, SaaS tools, and event streams through connectors or custom pipelines
Develop tested data models and curated datasets in cloud platforms such as Snowflake, Databricks, BigQuery, or Redshift
Collaborate with data scientists and ML engineers to prepare feature datasets for model training and inference
Prepare and refresh structured data for AI search, retrieval-augmented generation, and other Generative AI applications
Create dashboards and analyses using Tableau, Looker, Power BI, or similar tools when needed
Implement data quality checks, monitoring, and documentation to ensure data trustworthiness and early issue detection
Optimize query performance and pipeline costs; use Git, code reviews, and CI/CD for safe releases
Manage data access, lineage, and sensitive information including personally identifiable information (PII)

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Technical Skills Required
SQL Python dbt
Benefits & Perks
Unlimited paid time off
Generous parental leave exceeding industry standards
Medical, Dental, and Vision insurance coverage
Disability and Life insurance access
Mental health and wellbeing support
Annual bonus program
Employer Stock Purchase Program
Yearly team-building experiences
Mentorship and sponsorship opportunities

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Nice to Have
Experience with Apache Spark, Databricks, and large-scale data processing
Familiarity with data quality or observability tools like Great Expectations, Soda, or Monte Carlo
Knowledge of streaming data platforms such as Kafka or Kinesis and ingestion tools like Fivetran or Airbyte
Experience preparing data for machine learning features, AI search, embeddings, or retrieval-augmented generation applications
Experience with cloud services across AWS, Azure, or Google Cloud and data governance tools such as Unity Catalog or DataHub

Job Description

This is a Fully Remote Job

About Our Client:

The organization operates within the data engineering and analytics space, focusing on delivering reliable data pipelines and curated datasets to support reporting, business decision-making, and artificial intelligence initiatives. Addressing challenges in data accuracy and accessibility, the company enables teams to work with large datasets effectively for analytics and AI applications.

About the Opportunity:

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Job Overview
Posted Date Oct 05, 2026
Employment Type Full-time
Experience Level Mid-Senior level
Location United State
Category Data Science
Company talenthop
Mentioned Skills
python artificial intelligence ai etl unity saas git aws apache kafka cloud tableau looker sql power bi pandas spark machine learning

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