Work All Remote

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Role Description

You will own end-to-end technical architecture and delivery of data engineering solutions.

• Design and implement scalable ETL architectures and data pipelines.
• Develop and optimize SQL procedures and ETL processes for batch and real-time data processing.
• Lead a team of data engineers in a matrix organization.
• Provide mentoring in ETL best practices and data engineering methodologies.
• Estimate work effort and assist Project Managers with task planning and resource allocation.
• Collaborate directly with clients on technical requirements and solution design.
• Perform data modeling and schema design for efficient data processing.
• Create robust API integrations for real-time data ingestion from various sources.
• Review code and engineering solutions for performance, scalability, and compliance with standards.
• Create comprehensive technical documentation for data pipelines and integrations.

Outcomes

• Deliver sophisticated data integration solutions on time and within budget.
• Build efficient real-time and batch data processing pipelines.
• Design and implement API-based integration solutions.
• Effectively delegate tasks to development resources both onshore and offshore.
• Develop and mentor data engineers across the organization.
• Strengthen client relationships through high-quality technical solutions.
• Master core data engineering platforms and technologies.

Relationships

This position regularly collaborates with cross-functional teams including:

• Quality Assurance
• Campaign Management
• Business Intelligence
• Information Technology
• Project Management

Key Skills / Experience

• Experience with cloud data platforms (AWS, GCP, Azure) and big data technologies.
• 4+ years of experience with ETL tools (Talend, Informatica, SSIS, or DataStage).
• 4+ years of experience with database technologies (SQL Server, Oracle, or other major RDBMS).
• 2+ years of experience leading data engineering teams.
• Advanced knowledge of ETL architecture, processes, and best practices.
• Experience designing and implementing large-scale data warehouses with both relational and dimensional modeling.
• Expert-level SQL and database programming skills.
• Strong experience designing and implementing real-time data ingestion systems using APIs.
• Proven track record building RESTful and streaming API integrations.
• Proficiency with file transfer protocols and security mechanisms (sFTP, PGP Encryption).
• Experience with automation, workflow orchestration, and scheduling tools.
• Strong knowledge of software engineering practices including version control (Git, SVN), issue tracking (Jira), and SDLC methodologies.
• Scripting/programming skills in Python, Java, Bash, or Perl.

Preferred Skills

• Experience with cloud Data Warehouses (Snowflake, BigQuery, Synapse, Redshift, etc).
• Experience with Customer Data Platforms or Master Data Management systems.
• Expertise with cloud-native ETL services (AWS Glue, Azure Data Factory, GCP Dataflow).
• Experience with streaming data technologies (Kafka, Kinesis).
• Experience with real-time data processing frameworks (Spark Streaming, Flink).
• Experience with data marketing platforms and campaign management systems.
• Knowledge of BI visualization tools (Tableau, Power BI).
• Technical consulting experience.

Requirements

This position is 100% remote and will be reporting to the VP, Data Engineering Lead.

The annual salary range for this position is $94,000 – $152,375. Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law.

Benefits

• Medical, vision, and dental insurance.
• Life insurance.
• Short-term and long-term disability insurance.
• 401k.
• Flexible paid time off.
• At least 15 paid holidays per year.
• Paid sick and safe leave.
• Paid parental leave.