Senior Data Engineer

RelMap Consulting; United States; Remote; USD 96,000 - 110,000; Full time

Job summary

RelMap Consulting is hiring a Senior Data Engineer to strengthen the company’s data platform and analytics foundation across strategy, governance, and delivery. This contract role is remote, supporting analytics enablement in modern cloud environments.

The engagement emphasizes scalable data solutions, quality, lineage visibility, and operational reliability across Azure and Snowflake, with pay of USD 70.00–$80.00 per hour and $125K–$140K upon conversion.

Qualifications

• Bachelor's degree in a relevant field.
• 4–7 years of experience in data engineering or related roles.
• Strong proficiency in SQL with Azure, PostgreSQL, and Snowflake.
• Strong proficiency in Python, Java, and other programming languages.
• Experience with orchestration and scheduling tools like Azure Data Factory, Apache Airflow, Mulesoft.

Responsibilities

• Partner with stakeholders to design scalable data solutions.
• Define and enforce data standards for governance and lineage.
• Work with governance teams to support data quality and lineage across Azure and Snowflake.
• Transition data processes to governed, automated pipelines.
• Ensure security, privacy, and regulatory compliance for data.

Skills

SQL

Python

Java

Power BI

Data governance

Education

Bachelor's degree

Master's degree

Tools

Azure Data Factory

Apache Airflow

Mulesoft

dbt

Coalesce

Azure DevOps

GitHub Actions

Job description

RelMap Consulting is hiring a Senior Data Engineer to strengthen the company’s data platform and analytics foundation across strategy, governance, and day-to-day delivery. This contract role is available remote, supporting work that spans governed ingestion, transformation, monitoring, and analytics enablement in modern cloud environments.

The engagement focuses on building scalable data solutions aligned to enterprise data strategy and governance frameworks, with an emphasis on quality, lineage visibility, and operational reliability across Azure and Snowflake. Pay is listed as USD 70.00–$80.00 per hour (and $125K–$140K upon conversion), with a requirement of at least 4 years of relevant experience.

Responsibilities

• Partner with data management and business stakeholders to design and implement scalable data solutions aligned to enterprise data strategy and governance frameworks.
• Define and enforce data standards to ensure consistency, traceability, and adherence to architectural principles across ingestion, transformation, and consumption layers.
• Work with data stewards and governance teams to support data quality, lineage visibility, and stewardship processes across Azure and Snowflake.
• Transition ad hoc and manual data processes into governed, automated, and well-documented pipelines that improve transparency, auditability, and reusability.
• Ensure compliance with security, privacy, and regulatory requirements across data storage, movement, and access.
• Create and manage ingestion pipelines, including feeds and integrations for both batch and near real-time workflows across internal and external systems.
• Use strong SQL skills to optimize performance across Snowflake, Azure, and PostgreSQL, including stored procedures, views, ingestion and transformation tools, and performance tuning techniques.
• Implement transformation logic and data workflows with version control and CI/CD practices.
• Establish observability and monitoring to maintain data reliability, pipeline health, and SLA compliance.
• Collaborate with data architects to align solutions with enterprise data models, supporting scalability, maintainability, and cost efficiency for both OLTP and OLAP.
• Partner with analytics and BI teams to ensure availability and reliability of curated, high-quality datasets that support reporting and machine learning initiatives.
• Build and optimize semantic layers and curated datasets for Power BI and other visualization tools, enabling self-service analytics with governed access.
• Contribute to data cataloging, lineage documentation, and metadata management to improve discoverability and reusability.
• Evaluate and introduce new technologies, frameworks, and methodologies to improve efficiency, quality, and scalability of data processing.
• Lead or contribute to POCs and platform modernization efforts toward cloud-native and metadata-driven architectures.
• Improve CI/CD processes, data testing, and documentation standards to strengthen reliability and repeatability.
• Champion data engineering best practices such as modular design, reusable components, and performance optimization.
• Stay current with emerging trends in cloud data architecture, data mesh, and automation tools to support innovation and competitive advantage.

Requirements

• Bachelor’s degree (BA/BS) in Data Engineering, Computer Science, Information Systems, or a related field.
• Master’s degree is a plus.
• 4–7 years of experience in data engineering or related roles.
• Strong proficiency in SQL with Azure, PostgreSQL, and Snowflake.
• Strong proficiency in Python, Java, and other programming languages.
• Hands‑on experience with Azure Data Factory, Apache Airflow, and Mulesoft for orchestration and scheduling.
• Strong knowledge of data integration and ETL/ELT processes and transformation tools such as dbt or Coalesce.
• Experience implementing CI/CD pipelines for data infrastructure and deployments (for example, with Azure DevOps or GitHub Actions).
• Demonstrated knowledge of data modeling, metadata management, and data lineage tools.
• Familiarity with data governance, quality frameworks, and compliance standards.

Technologies

• SQL, Azure, PostgreSQL, Snowflake
• Python, Java
• Azure Data Factory, Apache Airflow, Mulesoft
• dbt, Coalesce
• Power BI
• Azure DevOps, GitHub Actions, CI/CD
• Stored procedures, views