141 applicants

Company

Original Job Post

WorkWave · 2 days ago

Senior Data Engineer

United States

Full-time

Remote

Senior Level

$110K/yr - $140K/yr

2+ years exp

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Responsibilities

Data Pipeline Design & Implementation: Build and maintain robust data pipelines and ETL processes.

Data Infrastructure Development: Design, implement, and manage data infrastructure including data lakes, warehouses, and databases.

Collaboration with AI/ML Teams: Partner with data scientists and the AI Architect to build data models supporting advanced AI/ML use cases.

Data Quality Management: Develop and implement data quality frameworks to ensure data accuracy and consistency.

Technology Evaluation & Integration: Evaluate and integrate new data technologies to improve data infrastructure.

Data Governance & Security: Collaborate with security teams to establish data governance policies and practices.

Performance Tuning & Optimization: Optimize data processing performance and improve data pipeline efficiency.

Documentation & Best Practices: Develop and maintain comprehensive documentation for data engineering and architecture.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data EngineeringData InfrastructureAI/ML ProjectsPythonJavaCloud EnvironmentsBig Data TechnologiesETL DesignApache AirflowApache NiFiSQLDatabase Management SystemsData Warehousing SolutionsApache SparkKafkaData ModelingData ArchitectureHadoopHiveMLOpsDevOpsCI/CD PipelinesEffective CollaborationCommunication

Required

Bachelor’s degree in Computer Science, Engineering, or a related technical discipline is required.

Minimum 2 years of experience in data engineering or a related field, including building and optimizing data pipelines.

Proven experience in supporting the design, build, and management of data infrastructure for AI/ML projects.

Strong coding skills in Python, Java, or similar programming languages.

Experience with cloud environments (AWS preferred) and big data technologies.

Effective collaboration skills with the ability to work cross-functionally.

Strong proficiency in data pipeline and ETL design, with hands-on experience in tools like Apache Airflow, Apache NiFi, or similar.

Advanced knowledge of SQL, database management systems (e.g., PostgreSQL, Redshift), and data warehousing solutions.

Expertise in programming languages such as Python or Java, and experience in data processing frameworks (e.g., Apache Spark, Kafka).

Familiarity with modern cloud platforms (e.g., AWS, GCP, Azure) and their data engineering services.

Experience with data modeling, data architecture, and big data technologies (e.g., Hadoop, Hive).

Understanding of MLOps and DevOps principles, with knowledge of CI/CD pipelines for data workflows.

Proven ability to communicate technical details with both technical and non-technical stakeholders.

Benefits

Health and dental benefits

401k with company match

Flexible Time Off policy or generous PTO plan

Up to 4 weeks paid bonding leave

Free subscription to the Calm App for you and up to 4 dependents

Tuition reimbursement

Robust Employee Assistance Program through TotalCare

24/7 access to virtual medical care with Teladoc

Quarterly awards based on peer nominations

Regional discounts and perks

Opportunities to participate in charitable events

Company

WorkWave

Glassdoor

3.8

WorkWave provides cloud-based software solutions that support every stage of a service business’s life cycle.

Founded in 1984

Holmdel, New Jersey, USA

1,001-5,000 employees

https://www.workwave.com/

H1B Sponsorship

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