Jobs in the United States

25+ jobs

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Added 43 mins ago
EG
Databricks Data Engineer
Eliassen Group
Hartford, CT
- $150,000 to $154,000 USD / year
Build and maintain data lakes to support analytics and business intelligence.
Added 51 mins ago
EG
Databricks Data Engineer
Eliassen Group
Oklahoma City, OK
- $150,000 to $154,000 USD / year
Build and maintain data lakes to support analytics and business intelligence.
Added 1 hour ago
EG
Databricks Data Engineer
Eliassen Group
Madison, WI
- $150,000 to $154,000 USD / year
Build and maintain data lakes to support analytics and business intelligence.
Added 1 hour ago
GC
Senior Demand Planner - Mobility
Gates Co
Denver, CO
- $40,123 USD / year
Gates is a leading manufacturer of application-specific fluid power and power transmission solutions. We push the boundaries of material science to engineer solutions that continually…
Added 1 hour ago
EG
Databricks Data Engineer
Eliassen Group
Springfield, IL
- $150,000 to $154,000 USD / year
Build and maintain data lakes to support analytics and business intelligence.
Added 1 hour ago
T
Data Scientist V
TEKsystems
Menlo Park, CA
- $80 to $90 USD / hour
You will work closely with a Senior data engineer to turn the measurement strategy into scalable data models, dashboards, and reporting. The ideal candidate has a product analytics…
Added 1 hour ago
Silicon Product Engineer – Manufacturing
Nvidia
Santa Clara, CA
We are hiring a Silicon Product Engineer – Manufacturing to join our Testability, Manufacturability, Reliability & Quality (TMRQ) team. In this role, you will help validate and implement…
Added 1 hour ago
AI Manager/Lead - Lead Data Engineer II
Deloitte
Sacramento, CA
Leading the design, development, testing, and deployment of artificial intelligence and machine learning solutions supporting health eligibility, benefits, and human services platforms
Added 1 hour ago
EG
Databricks Data Engineer
Eliassen Group
Sacramento, CA
- $150,000 to $154,000 USD / year
Build and maintain data lakes to support analytics and business intelligence.
Added 2 hours ago
EG
Databricks Data Engineer
Eliassen Group
Dover, DE
- $150,000 to $154,000 USD / year
Build and maintain data lakes to support analytics and business intelligence.
Added 2 hours ago
EG
Databricks Data Engineer
Eliassen Group
Salt Lake City, UT
- $150,000 to $154,000 USD / year
Build and maintain data lakes to support analytics and business intelligence.
Added 2 hours ago
EG
Databricks Data Engineer
Eliassen Group
Albany, NY
- $150,000 to $154,000 USD / year
Build and maintain data lakes to support analytics and business intelligence.
Added 3 hours ago
Data Engineer, WW Pricing - Data & Analytics
Amazon
Seattle, WA
You will be joining WW Pricing Data & Analytics team which consists of several Data Engineers and Business Intelligence Engineers.
Added 3 hours ago
EG
Databricks Data Engineer
Eliassen Group
Olympia, WA
- $150,000 to $154,000 USD / year
Build and maintain data lakes to support analytics and business intelligence.
Added 3 hours ago
EG
Databricks Data Engineer
Eliassen Group
Salem, OR
- $150,000 to $154,000 USD / year
Build and maintain data lakes to support analytics and business intelligence.
Added 3 hours ago
EG
Databricks Data Engineer
Eliassen Group
Topeka, KS
- $150,000 to $154,000 USD / year
Build and maintain data lakes to support analytics and business intelligence.
Added 4 hours ago
Senior Snowflake Engineer
Datavail Corporation
Remote, United States
Datavail’s Data Management and Analytics practice is made up of experts who provide a variety of data services including initial consulting and development, designing and building complete…
Added 4 hours ago
EG
Databricks Data Engineer
Eliassen Group
Nashville, TN
- $150,000 to $154,000 USD / year
Build and maintain data lakes to support analytics and business intelligence.
Added 4 hours ago
Senior Software Developer
Altamira Technology Corporation
Fort Eisenhower, GA
Altamira Technologies has a long and successful history providing innovative solutions throughout the U.S. National Security community. Headquartered in McLean, Virginia, Altamira serves…
Added 4 hours ago
Senior Manager, Application & Machine Learning Engineer - Fuelight
The Coca-Cola Company
Atlanta, GA
This role is responsible for advancing Fuelight, Coca‑Cola’s strategic resource allocation and investment optimization product, which enables more informed marketing, trade, and commercial…
Added 4 hours ago
Senior Data Engineer - Streaming
The Coca-Cola Company
Atlanta, GA
We are seeking a highly specialized engineer in Real-time Streaming to evolve Coca-Cola’s enterprise data estate from batch-reliant processing to a continuous, event-driven ecosystem. In…
Added 4 hours ago
EG
Databricks Data Engineer
Eliassen Group
Atlanta, GA
- $150,000 to $154,000 USD / year
Build and maintain data lakes to support analytics and business intelligence.
Added 4 hours ago
EG
Databricks Data Engineer
Eliassen Group
Saint Paul, MN
- $150,000 to $154,000 USD / year
Build and maintain data lakes to support analytics and business intelligence.
Added 4 hours ago
EI
Senior Services Sales Executive, Enterprise Accounts
ElasticSearch Inc.
Denver, CO
- $132,700 to $209,900 USD / year
…their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search…
Added 5 hours ago
MI
Algorithm Engineer
Maxar Intelligence I
Westminster, CO
- $105,000 to $140,000 USD / year
Vantor is seeking a highly skilled Algorithm Engineer to join our team and help develop next-generation solutions in computer vision, geospatial analytics, and photogrammetry. This role…

Jobgether

Senior Data Engineer

Remote, United States

$130,000 to $200,000 USD / year

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Job details

Pay: $130,000 to $200,000 USD / year
Posting language: English
Posted: Nov 5, 2026

Original job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer based in the United States.

We are seeking an experienced Senior Data Engineer to help build, operate, and optimize the data infrastructure powering analytics and business intelligence across global markets. In this individual contributor role, you will take ownership of critical data synchronization pipelines, ensuring reliable and timely data delivery from market-level databases into Snowflake. Working within a modern AWS-based technology environment, you will leverage tools such as Kafka, Spark Structured Streaming, Apache Iceberg, and Amazon S3 to manage large-scale data flows. You will play a key role in improving system performance, scalability, reliability, and cost efficiency while maintaining high standards of data quality. You will also drive engineering best practices, strengthen monitoring and deployment processes, and lead production incident investigations. This is an exciting opportunity to solve complex distributed systems challenges within a collaborative, international, and mission-driven technology environment.

Accountabilities:

Own, maintain, and continuously improve change data capture (CDC) and data synchronization pipelines, ensuring accurate, reliable, and timely data delivery from market-level databases into Snowflake.
Optimize pipeline performance, scalability, and infrastructure efficiency by reducing processing latency, controlling operational costs, and supporting increasing data volumes across multiple markets.
Design, develop, and evolve data infrastructure by onboarding new data sources, tables, and markets while managing schema changes and ensuring compatibility across systems.
Establish and maintain service level objectives (SLOs), implement monitoring and alerting mechanisms, and develop automated data quality checks to ensure data accuracy, availability, and reliability.
Strengthen engineering standards by developing unit and integration tests, maintaining CI/CD workflows, implementing infrastructure-as-code, and introducing safe deployment strategies such as dry runs and blue-green deployments.
Troubleshoot production incidents, lead root cause analyses, and translate findings into improvements in monitoring, testing, technical documentation, and operational runbooks.
Participate in architectural and technical design discussions, prepare and review technical design documents, and contribute to code quality through constructive peer reviews.
Collaborate with Data Science, Analytics, Data Platform, Product, Credit, and Business Development teams to understand data requirements and provide dependable access to critical information.
Take end-to-end ownership of production data systems, from development and deployment through ongoing maintenance and operational improvement.

Requirements:

At least 4 years of professional experience in backend engineering or data engineering, ideally supporting consumer-scale applications.
Minimum 2 years of hands-on professional experience developing with Python.
Proven ability to independently build, operate, troubleshoot, and optimize production-grade data pipelines.
Practical experience with change data capture (CDC) and stream processing technologies such as Kafka, Amazon MSK, AWS Database Migration Service (DMS), or comparable solutions.
Strong proficiency in Apache Spark, particularly Spark Structured Streaming.
Experience with modern data lakehouse architectures and table formats, including Apache Iceberg, Delta Lake, or Apache Hudi, as well as Parquet.
Strong database knowledge across relational and analytical platforms, including MySQL, PostgreSQL, Amazon RDS, and Snowflake.
Hands-on experience with AWS cloud infrastructure, ideally including EMR, S3, MSK, DMS, RDS, and EKS.
Experience with infrastructure-as-code and CI/CD technologies such as Terraform, Terragrunt, Helm, and Jenkins.
Familiarity with data pipeline orchestration and job scheduling tools such as Apache Airflow or Python-based services running on Kubernetes.
Strong understanding of distributed systems, scalable algorithms, and large-scale data processing architectures.
Excellent problem-solving and analytical skills, with the ability to investigate complex technical challenges and deliver reliable solutions.
Strong written and verbal communication skills, including the ability to explain complex technical concepts to engineering teams and business stakeholders.
Ability to work independently, take ownership of technical initiatives, and collaborate effectively across multidisciplinary teams.

Nice to Have:

Experience with Trino or Presto query engines.
Practical knowledge of Kubernetes and containerized applications.
Familiarity with AWS Glue.
Experience with additional stream processing technologies such as Debezium, Amazon Kinesis, or Apache Flink.
Exposure to modern data lakehouse technologies, including Delta Lake and Apache Hudi.
Advanced degree in Computer Science, Mathematics, or another relevant technical discipline.

Benefits:

Annual salary: $130,000–$200,000, depending on qualifications, experience, and other relevant factors.
Fully remote, remote-first working environment.
Opportunity to collaborate with an international team across multiple global markets.
Exposure to modern cloud infrastructure, AI-driven technology, and large-scale distributed data systems.
Opportunity to contribute to innovative financial technology solutions with meaningful global impact.
Inclusive and diverse working environment that values different backgrounds, perspectives, and professional experiences.
Opportunities to influence technical architecture, engineering standards, and the evolution of critical data infrastructure.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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More about this job

Skills

Snowflake
AWS
Apache Kafka
Apache Spark
Statistical quality control
CI/CD
Infrastructure as code
Troubleshoot
Documentation
Sales
Data engineering
Python
SAP DMS
MySQL
PostgreSQL
EMR
IBM Terraform
Jenkins
Scheduling
Apache Airflow
Kubernetes
Process data
Problem solving
Analytical skills
Communication skills
Work independently
Amazon Kinesis
Computer science

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