Jobs in the United States

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Added 3 mins ago
Senior Backend Cloud Engineer
Halcyon
Remote, United States
…As part of that vision, we’re looking for a Senior Backend Engineer to join our cloud team. You’ll lead the development and evolution of our data platform and API services, working within a…
Added 4 mins ago
Linux Software Engineer
Kastel Staffing
Huntsville, AL
We are seeking a UAS Linux Software Engineer to develop, integrate, and maintain the core software components that run on our drone platforms. This role focuses on the Linux‑based onboard…
Added 4 mins ago
Application Support Technical Team Lead
Kastel Staffing
Sandy Springs, GA
Experience as an Application Support Engineer supporting, maintaining, and enhancing enterprise applications.
Added 12 mins ago
TT
Robotics Software Engineer
True Talent Solutions Partners
Watertown, MA
- $130,000 to $180,000 USD / year
Added 12 mins ago
TT
Founding Forward Deployed Engineer
True Talent Solutions Partners
San Francisco, CA
- $180,000 to $230,000 USD / year
Join an early-stage AI customer success software team as a Founding Forward Deployed Engineer. You will work directly with enterprise customers to put AI agents into production, deliver…
Added 13 mins ago
K
Sr. Al Solution Engineer
Kentro
UNAVAILABLE
- $101,000 to $140,000 USD / year
Kentro is hiring for a Sr. AI Solution Engineer to support secure cloud data and applied AI initiatives for government customers. You will build governed data pipelines, automate cloud and…
Added 17 mins ago
SH
Business Intelligence Engineer III, Workday and AI Copilot
Sutter Health
Remote, United States
- $93,953.6 to $176,155.2 USD / year
A specialized mid-level technical professional who exercises independent judgment to architect, engineer, and optimize full-stack data products. This role acts as a technical authority,…
Added 25 mins ago
Software Integration Engineer, Autonomy
42dot
San Francisco
Added 25 mins ago
Sr. Calibration, Mapping & Localization Engineer
42dot
San Francisco
Added 25 mins ago
Sr. Software Integration Engineer, Autonomy
42dot
San Francisco
Added 25 mins ago
Calibration, Mapping & Localization Engineer
42dot
San Francisco
Added 25 mins ago
PowerApps Engineer
Robert Half
Fort Lauderdale, FL
We are looking for an experienced PowerApps Engineer to support enterprise Power Platform initiatives for a client in Fort Lauderdale, Florida. This Long-term Contract position focuses on…
Added 26 mins ago
Director of Growth Sales, Enterprise
Skai
los angeles, CA
Genuine curiosity for AI-powered products - you don't need to be an engineer, but you should be able to hold a credible conversation about how agentic workflows create value for marketers
Added 29 mins ago
PC
Civil Engineer 3 - Wastewater Utilities
Pierce County
Pierce County, WA
- $56.62 to $72.07 USD / hour
Added 30 mins ago
Senior Member of Technical Staff, Product Engineering
Pallet
NY · San Francisco, CA
…(ex-Google), Nilkanth (ex-founder, ex-DoorDash), and Vidhur (lead engineer on Document AI at Scale) to shape the future of logistics AI - from how it's built to how it's deployed in the…
Added 30 mins ago
Senior Member of Technical Staff, Product Engineering
Pallet
San Francisco, CA · NY
…(ex-Google), Nilkanth (ex-founder, ex-DoorDash), and Vidhur (lead engineer on Document AI at Scale) to shape the future of logistics AI - from how it's built to how it's deployed in the…
Added 30 mins ago
Senior Member of Technical Staff, Platform Engineer (Infra)
Pallet
San Francisco, CA · NY
You could be an Infrastructure Engineer anywhere. Why us?
Added 30 mins ago
Senior Member of Technical Staff, Platform Engineer (Infra)
Pallet
NY · San Francisco, CA
You could be an Infrastructure Engineer anywhere. Why us?
Added 34 mins ago
O
Senior System Engineer - Odessa, TX
Oracle
Odessa, TX
- $35.63 to $71.3 USD / hour
The Systems Engineer is responsible for designing, implementing, and supporting enterprise infrastructure systems to ensure high availability, performance, and security across the…
Added 34 mins ago
O
Principal Core Infrastructure Engineer
Oracle
Austin, TX
- $114,600 to $234,600 USD / year
Oracle Cloud Infrastructure (OCI) is hiring a Principal Core Infrastructure Engineer to join the Next Gen Network Observability team. Help build cloud-scale intelligence systems that enable…
Added 34 mins ago
O
Core Infrastructure Engineer 2
Oracle
Nashville, TN
- $70,000 to $166,100 USD / year
As a Core Infrastructure Software Engineer, you will:
Added 40 mins ago
TT
Software Engineer, RL Environments
True Talent Solutions Partners
San Francisco, CA
- $260,000 to $290,000 USD / year
Added 44 mins ago
Senior Process Engineer
Actalent
San Diego, CA
Job Title: Senior Process EngineerJob DescriptionThe Senior Process Engineer leads manufacturing process development and continuous improvement initiatives within an electronics and…
Added 44 mins ago
A
Manufacturing Test Engineer
Actalent
San Diego, CA
- $37 to $41 USD / hour
Job Title: Manufacturing Test EngineerJob DescriptionWe are seeking a dedicated Manufacturing Test Engineer to perform hands-on functional testing of complex DUV laser systems. The role…
Added 44 mins ago
Mechanical Engineer
Actalent
Benton Harbor, MI
Job Title: Mechanical EngineerJob DescriptionThe engineer will play a crucial role in overseeing global laundry mechanical structures subsystem deliverables. This includes development,…

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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