Senior Data Engineer

Job not on LinkedIn

🕒 October 30

🇺🇸 United States – Remote

💵 $130k - $170k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Nerdery

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2003

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

Consulting • Healthcare • Manufacturing

Nerdery is a digital solutions company that specializes in digital consulting, technology consulting, data strategy, and cloud development services. They offer a range of services including application modernization, integration/APIs, custom software development, and AI development services. Nerdery helps businesses accelerate their digital transformation journey by crafting custom digital ecosystems that enhance efficiency and competitiveness. They have a strong focus on data and AI services, helping organizations leverage data analytics and machine learning to revolutionize operations. Nerdery works closely with clients to translate visions into impactful digital products and platforms, offering adaptable partnerships that complement existing teams and ensure agile, scalable solutions.

📋 Description

• Design and implement end-to-end data pipelines and ETL/ELT processes • Architect scalable data platforms using medallion/multi-hop, data mesh, or lakehouse patterns • Migrate data infrastructure from on-premise or hybrid environments to AWS • Manage and optimize AWS data services including Redshift, Glue, EMR, and Kinesis • Develop data-processing logic using Python, Pandas, PySpark, Polars, and advanced SQL • Automate data workflows using Airflow/MWAA and Step Functions • Implement Infrastructure-as-Code with Terraform/CloudFormation and CI/CD for data workloads • Design data architecture, storage solutions, and analytics platforms to drive business insights • Collaborate with clients, technical and non-technical stakeholders, and team members • Present to clients and potentially perform on-site client work and demonstrations

🎯 Requirements

• Bachelor's degree in Computer Science, Data Engineering, or a related field (or equivalent practical experience) • 6+ years of professional experience in data engineering or a closely related discipline • In-depth knowledge of Snowflake, including warehouse design, role-based access control, performance tuning, and cost optimization • Advanced proficiency with dbt for modular, tested, and version-controlled data transformations • Hands-on experience with Dagster for pipeline orchestration, asset management, and data observability • Experience designing and implementing data pipelines, data storage solutions, and analytics platforms on modern cloud data stacks • Experience migrating data pipelines and infrastructure to Snowflake from legacy warehouses, on-premise systems, or hybrid environments • Advanced proficiency in Python with hands-on experience in Pandas, Polars, PySpark, or similar • Strong SQL skills across analytical and transactional workloads • Experience with relational and/or columnar databases such as PostgreSQL, SQL Server, or Snowflake • Deep understanding of data modeling, ETL/ELT processes, and data warehousing principles • Experience implementing medallion/multi-hop, data mesh, or lakehouse architecture patterns • Familiarity with Infrastructure-as-Code tools such as Pulumi or Terraform • Familiarity with event-driven architectures and integrating orchestration platforms with cloud services • Strong Git version-control practices and experience building CI/CD workflows such as GitHub Actions • Ability to translate business and technical requirements into production-grade, maintainable data pipelines • Excellent problem-solving and analytical skills • Ability to communicate clearly with technical and non-technical stakeholders • Proactive collaboration, mentoring, and raising the technical bar across the team • Experience building and consuming RESTful APIs • Exposure to Docker is a plus • Familiarity with data quality and observability tooling such as dbt tests, Great Expectations, or Monte Carlo is desirable • Must be legally authorized to work within the country of employment without sponsorship for employment visa status

🏖️ Benefits

• Two comprehensive medical plans, including an HSA-eligible option • Dental and vision insurance • Company-paid Basic Life and AD&D Insurance • Company-paid Short-Term Disability (STD) coverage • Company-paid Long-Term Disability (LTD) coverage • Discounted employee-paid Voluntary Life and AD&D, Accident, Critical Illness, and Hospital Indemnity insurance • Pet Insurance • Legal Support and Identity Theft Protection plans • 401(k) plan with company match of up to 3.5% and immediate vesting • Flex PTO for vacation, personal time, personal illness, or dependent care • Remote-friendly workplace • Professional development resources and funds for industry conferences and certifications

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