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Senior Data Engineer (US only)

Nimble Gravity Open
Remote United States Senior Data Engineering

At a glance

Senior Data Engineering role at Nimble Gravity. Remote, United States · no salary stated · we estimate $142,375–$192,500 across the United States.

Estimated pay

Nimble Gravity has not published a salary for this role. The figure below is our estimate, not theirs.

$142,375 – $192,500
What the middle half of senior data engineering roles in the United States paid, among postings that did state a salary.
Worked out from 544 postings that stated pay, median $162,500. Last updated Nov 13, 2026.
RoleData Engineering
SenioritySenior
LocationUnited States
WorkplaceRemote
PostedSep 28, 2026
Role brief

remoteroles summary, based on the employer's posting.

What you'll do

  • Build pipelines that move data from source systems into the cloud, covering collection through loading
  • Coordinate with data architects and stakeholders to keep pipelines scalable, reliable and performant
  • Turn raw data into analysis-ready information and improve ETL workflows to protect data quality
  • Work with client stakeholders to clarify data needs and deliver useful insights
  • Guide data engineers through technical decisions and mentorship

What you bring

  • At least five years as a data engineer, focused on cloud-based solutions
  • Hands-on strength with Microsoft Azure services, including Azure Databricks, Azure SQL Database or another listed platform
  • A bachelor's or master's degree in computer science, engineering or a related discipline
  • Working knowledge of data modeling, ETL/ELT, warehousing, SQL and NoSQL databases, plus data processing frameworks

Who this fits

This senior role suits a cloud data engineer who can lead technical work and mentor other engineers. It is remote in the United States, and the employer does not sponsor H1B visas.

From the employer

Job Description: Senior Cloud Data Engineer

Position Overview:

We are seeking an experienced and innovative Senior Cloud Data Engineer to lead our clients in the design, development, and maintenance of cloud-based data solutions. As a key member of our data engineering team, you will be responsible for designing and developing robust data pipelines, optimizing data workflows, and ensuring the availability and reliability of our client’s cloud data platform.

Key Responsibilities:

  • Design end-to-end data pipelines that efficiently collect, process, transform, and load data from various sources into our cloud environment.
  • Collaborate with data architects and other stakeholders to ensure the scalability, reliability, and performance of data pipelines.
  • Develop complex data transformation logic to prepare raw data for analysis and reporting purposes.
  • Build and optimize Extract, Transform, Load (ETL) processes to ensure data quality and integrity.
  • Collaborate with client stakeholders to understand data requirements and deliver actionable insights.
  • Lead a team of data engineers, providing technical guidance, mentorship, and fostering a culture of innovation and collaboration.
  • Stay current with the latest advancements in cloud technologies and data engineering practices.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • Proven experience (5+ years) as a Data Engineer, with a focus on cloud-based solutions.
  • Strong expertise in Microsoft Azure, including hands-on experience with relevant services.
  • Data Platforms (Azure Databricks, Azure SQL Database and Azure Synapse Analytics)
  • Spark Programming (Python, PySpark and SparkSQL)
  • Orchestration and Automation (Azure Data Factory and Logic Apps)
  • Storage (Azure Data Storage Gen2)
  • Event Processing (Kafka and Azure Event Hubs)
  • Proficiency in data modeling, ETL/ELT processes, and data warehousing concepts.
  • Knowledge of SQL and NoSQL databases, along with data processing frameworks (e.g., Apache Spark).
  • Excellent problem-solving skills and the ability to troubleshoot complex data engineering issues.
  • Strong leadership skills, with the ability to guide and mentor junior team members.
  • Relevant Microsoft Azure data certifications are a plus.

About Nimble Gravity

Nimble Gravity is a team of outdoor enthusiasts, adrenaline seekers, and experienced growth hackers. We love solving hard problems and believe the right data can transform and propel growth for any organization.

Nimble Gravity is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Nimble Gravity considers all qualified applicants.

We do not sponsor H1B visas.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data EngineeringRemote

Find me work

By the team behind remoteroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind remoteroles.