Senior Data Engineer @ WorkWave | Jobright.ai
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WorkWave · 2 days ago

Senior Data Engineer

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Responsibilities

Data Pipeline Design & Implementation: Build and maintain robust data pipelines and ETL processes that ingest, clean, transform, and load data from various internal and external sources. Ensure scalability, security, and high availability
Data Infrastructure Development: Design, implement, and manage data infrastructure, including data lakes, warehouses, and databases, to support data analytics and AI/ML workflows
Collaboration with AI/ML Teams: Partner with data scientists, data analysts, and the AI Architect to understand data requirements and build data models that support advanced AI/ML use cases
Data Quality Management: Develop and implement data quality frameworks to ensure data is accurate, consistent, and reliable across the organization
Technology Evaluation & Integration: Evaluate and integrate new data technologies and tools to improve data infrastructure, ensuring alignment with current and future requirements
Data Governance & Security: Collaborate with security teams to establish data governance policies and practices, ensuring compliance with regulations and best practices in data security and privacy
Performance Tuning & Optimization: Optimize data processing performance, troubleshoot bottlenecks, and proactively improve data pipeline efficiency
Documentation & Best Practices: Develop and maintain comprehensive documentation and follow best practices 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 PipelinesAI/ML ProjectsPythonJavaCloud EnvironmentsBig Data TechnologiesETL DesignApache AirflowApache NiFiSQLDatabase Management SystemsData Warehousing SolutionsProgramming LanguagesData Processing FrameworksAWSGCPAzureData ModelingData ArchitectureHadoopHiveMLOpsDevOpsCI/CD PipelinesTechnical CommunicationEffective Collaboration

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 Insurance
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 and give back to the community

Company

WorkWave

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

H1B Sponsorship

WorkWave has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2022 (2)

Funding

Current Stage
Early Stage
Total Funding
$8.3M
Key Investors
HgTA AssociatesKey Venture Partners
2022-03-30Secondary Market· Undisclosed
2020-01-01Private Equity· Undisclosed
2017-09-28Acquired· by IFS

Leadership Team

D
David Ittner
Chief Technology Officer
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Joseph Pascaretta
Chief Operating Officer
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Company data provided by crunchbase
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