Senior Data Engineer

By Referral Only

. Develop and operate modern data architecture approaches to meet business objectives and provide end-to-end data solutions .

Posted 11/3/2026full-timeRemote • North Carolina • United StatesSenior💰 $134,000 - $203,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and operating data pipelines, utilizing modern data engineering tools and platforms, and ensuring data quality, security, and privacy. Proficient in collaborating with stakeholders and data scientists to deliver scalable data solutions and insights.

Highest-signal resume keywords

Data Pipeline DevelopmentData ModelingPython ProgrammingAWS/Azure/GCP ExperienceData Security and Privacy

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Processing PipelinesSQLNoSQL DatabasesETL/Data PipelinesData Visualization TechniquesMachine LearningGenerative AIDatabricksModern Data WarehousingDelta Lakes

Soft Skills

Stakeholder ManagementCoaching and MentoringAdaptabilityConflict Management

Tools & Technologies

SnowflakeRedshiftBigQueryDistributed Storage TechnologiesContinuous Delivery Practices

Industry Keywords

Data GovernanceData PrivacyData QualityData LakesData Schemas

Tech Stack

Tools & technologies

Amazon RedshiftAWSAzureBigQueryDistributed SystemsETLGoogle Cloud PlatformNoSQLPythonSnowflakeSQL

About the role

Key responsibilities & impact

Develop and operate modern data architecture approaches to meet business objectives and provide end-to-end data solutions
Develop intricate data processing pipelines addressing challenging client problems
Collaborate with data scientists to design scalable implementations of their models
Write clean, iterative code using TDD and continuous delivery practices
Deploy, support, and operate data pipelines
Use distributed storage and computing technologies
Develop data models using appropriate modeling techniques and technology stacks
Collaborate on data governance, data security, and data privacy
Incorporate data quality into day-to-day work
Anchor functional streams of work and remain accountable for timely delivery

Requirements

What you’ll need

Ability to build and operate data pipelines and maintain data storage within distributed systems
Hands-on experience with data modeling and modern data engineering tools and platforms
Experience writing clean, high-quality code using the preferred programming language
Experience building and deploying large-scale data pipelines and data-centric applications using distributed storage and processing platforms in production
Experience with data visualization techniques and communicating insights to different audiences
Experience with data-driven approaches, data security, and data privacy strategies
Experience with SQL, NoSQL databases, data lakes, and data schemas
Experience with Python, SQL, ETL/Data Pipelines, Databricks, modern data warehousing, data lakes, and Delta lakes, including Snowflake, Redshift, or BigQuery
Experience with AWS, Azure, or GCP
Experience with Machine Learning, AI, Generative AI, or LLMs
Ability to manage stakeholders and liaise between clients and key stakeholders
Ability to adapt to ambiguous situations and manage risks or conflicts
Ability to coach, mentor, and motivate others
US work authorization that does not now or in the future require visa sponsorship

Benefits

Comp & perks

Career support through interactive tools and numerous development programs
Teammates and cultivation culture supporting career growth
Reasonable accommodations during the hiring process
Equal opportunity and affirmative action employment practices