Senior Data Engineer: AI/ML Pipelines & Dashboards (Remote)

RemoteLeads

United States

Remote

USD 120,000 - 160,000

Full time

2 days ago
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Benefits offered by this job

Remote work
Health benefits
401(k) plan
Paid holidays
Career development

Job summary

RemoteLeads is seeking an experienced data engineer to design and maintain scalable batch and streaming data pipelines for AI/ML analytics. You will optimize ETL/ELT workflows, data models, and data warehouse architectures while ensuring data quality and monitoring across the stack.

You will build dashboards, feature pipelines, and model-ready datasets, collaborating with product, engineering, and operations teams.

Qualifications

  • 6+ years of experience in data engineering, analytics, or a related field.
  • Bachelor’s degree in Computer Science or a related field.
  • Advanced SQL proficiency, including complex queries and performance tuning.
  • Strong Python skills and experience building production-grade ETL/ELT pipelines at scale.
  • Experience with workflow orchestration tools such as Airflow.
  • Experience with data platforms including Spark, Hive, Snowflake, or BigQuery.
  • Experience building dashboards and visualizations with Tableau or similar tools.
  • Knowledge of data modeling and data governance best practices.
  • Experience enabling AI/ML workflows, including feature pipelines or AI-assisted analytics.
  • Preferred: Generative AI, prompt engineering, LLM workflows, Kafka or Spark Streaming, CI/CD, Git, infrastructure as code, digital analytics tools, customer support analytics, or contractor workforce experience.

Responsibilities

  • Design, build, and maintain scalable batch and streaming data pipelines.
  • Develop and optimize ETL/ELT workflows, data models, and data warehouse architectures.
  • Implement data quality validation, monitoring, and alerting frameworks.
  • Create and maintain self-service dashboards and visualizations for stakeholders.
  • Build feature pipelines and model-ready datasets for AI/ML analytics.
  • Automate data workflows and reporting with AI tools to reduce manual effort.
  • Collaborate with product, engineering, and operations teams on data-driven solutions.
  • Participate in internal practice meetings, thought leadership, case studies, and learning initiatives.
  • Contribute to Digital Transformation practice materials and internal networking activities.

Skills

Advanced SQL
Python
Airflow
Spark
BigQuery
Snowflake
Tableau
Data modeling
Data governance
AI/ML workflows

Education

Bachelor's degree in Computer Science

Tools

Airflow
Spark
Hive
Snowflake
BigQuery
Tableau

Job description

RemoteLeads is seeking an experienced data engineer to design and maintain scalable batch and streaming data pipelines for AI/ML analytics. You will optimize ETL/ELT workflows, data models, and data warehouse architectures while ensuring data quality and monitoring across the stack.

You will build dashboards, feature pipelines, and model-ready datasets, collaborating with product, engineering, and operations teams.

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