Data Engineer - Lead Job at Altamira Technologies (Centennial)

Data Engineer - Lead

Altamira Technologies is seeking an experienced Data Engineer to join our growin...

Location

United States , Centennial

Salary:

Not provided

Altamira Technologies

Expiration Date

Until further notice

Requirements

Bachelor's Degree in technical field
5+ years experience in data engineering
Well versed in Extract, Transforms, Load (ETL) techniques and technologies
Active TS/SCI clearance with ability to obtain CI polygraph
Self-motivated and eager to work intently to satisfy mission requirements
Aggressively detail-oriented
Eager and able to rapidly learn new data types and technologies
Adaptable and has the desire to maintain our company culture
Ability to effectively communicate in verbal and written communications with internal and external stakeholders of various backgrounds
Ability to multitask and adjust priorities as needed

Job Responsibility

Create ontologies that define the concepts, categories, and relationships relevant to ingested data
Ensure that data from different sources can be integrated seamlessly
Work with Subject Matter Experts to reach consensus on how the ontology's structure is designed
Serve as the data custodian
Coordinate and participate in Technical Exchange Meetings with data stakeholders
Identify, gather, and organize critical technical metadata to enrich the data catalog
Create visual representations of available data
Create and maintain charts, graphs, and dashboards to make complex data understandable
Build statistical tools and techniques to explore and analyze data
IPT Lead - willingness to perform interviews, select candidates and provide overall team leadership

Fulltime

Lead Data Engineer - Data Pipelines

Economic Intelligence is a Mastercard Services program within Economic & Busines...

Location

Czechia , Prague

Salary:

Not provided

Mastercard

Expiration Date

Until further notice

Requirements

Strong professional experience with Python building production-grade systems
Strong SQL skills, including writing readable and well-tuned queries for large-scale datasets
Experience leading design and delivery of data pipelines and/or data platform components, with attention to scalability, reliability, and maintainability
Familiarity with Databricks (or similar Spark-based data platforms)
Comfortable using LLM‑based coding tools, with the discipline to validate, test, and take full ownership of the generated code
Strong foundation in object-oriented software design and engineering best practices
Comfortable with Linux command line and production troubleshooting
Clear communicator with strong written and verbal English
Ownership mindset: motivation, creativity, self-direction, and ability to thrive in small, collaborative teams while influencing across boundaries
Passion for analytical/quantitative problem solving, quality, and continuous improvement of both platform and team processes

Job Responsibility

Lead technical execution to deliver end-to-end capabilities from data processing through publishing and customer consumption
Design, build, and evolve scalable, maintainable data pipelines that deliver insights from economic data
Drive performance, reliability, observability, and readability in the data platform codebase
Own and unify the data layer across multiple products, establishing shared patterns, reusable components, and clear interfaces
Translate business needs into durable technical designs
Tackle technical debt strategically
Set engineering direction and standards for pipeline development and cross-team integration
Write, test, and review code
Provide technical leadership through mentorship, rigorous code reviews, and support for other engineers’ growth and delivery
Continuously innovate, evaluating new approaches, tools, and technologies

Fulltime

Lead Data Engineer - Data Pipelines

Economic Intelligence is a Mastercard Services program within Economic & Busines...

Location

Czechia , Prague

Salary:

Not provided

Mastercard

Expiration Date

Until further notice

Requirements

Strong professional experience with Python building production-grade systems
Strong SQL skills, including writing readable and well-tuned queries for large-scale datasets
Experience leading design and delivery of data pipelines and/or data platform components, with attention to scalability, reliability, and maintainability
Familiarity with Databricks (or similar Spark-based data platforms)
Comfortable using LLM‑based coding tools
Strong foundation in object-oriented software design and engineering best practices
Comfortable with Linux command line and production troubleshooting
Clear communicator with strong written and verbal English
Ownership mindset: motivation, creativity, self-direction, and ability to thrive in small, collaborative teams while influencing across boundaries
Passion for analytical/quantitative problem solving, quality, and continuous improvement of both platform and team processes

Job Responsibility

Lead technical execution to deliver end-to-end capabilities from data processing through publishing and customer consumption
Design, build, and evolve scalable, maintainable data pipelines that deliver insights from economic data
Drive performance, reliability, observability, and readability in the data platform codebase
Own and unify the data layer across multiple products, establishing shared patterns, reusable components, and clear interfaces
Translate business needs into durable technical designs
Tackle technical debt strategically
Set engineering direction and standards for pipeline development and cross-team integration
Write, test, and review code
Provide technical leadership through mentorship, rigorous code reviews, and support for other engineers’ growth and delivery
Continuously innovate, evaluating new approaches, tools, and technologies

Fulltime

Data Engineer Lead (OT Data)

Data Engineer (OT Data) (Category - Engineer) Sector: Oil and Gas Location: Doha...

Location

Qatar , Doha

Salary:

Not provided

Codvo AI

Expiration Date

Until further notice

Requirements

Bachelor's in engineering, Information Systems, or a related quantitative field
5+ years of proven experience in a data engineering role
Experience within oil and gas industry is highly preferred
Demonstrable experience building and operationalizing large-scale data pipelines and applications

Job Responsibility

Architect & Build Data Pipelines: Design, construct, install, test, and maintain highly scalable data management systems and ETL/ELT pipelines
Integrate Diverse Data Sources: Develop processes to ingest and integrate high-volume, high-velocity data from SCADA systems, historians (like OSIsoft PI, Aspen InfoPlus.21), DCS, PLC, and IoT sensors
Cloud Data Platform Development: Implement and manage data solutions on the Microsoft Azure cloud platform, Leveraging services like Azure IoT Hub, Azure Event Hubs, and Azure Stream Analytics for real-time ingestion and processing of operational technology (OT) data
Data Modelling & Warehousing: Design and implement data models optimized for time-series data from industrial assets, supporting operational dashboards and real-time analytics
Enable Advanced AI: Build the data infrastructure to support AI/ML models for predictive maintenance, operational anomaly detection, and process optimization using real-time OT data
Champion Master Data Management (MDM): Design and implement MDM strategies and solutions to create a single, authoritative source of truth for critical data domains such as wells, equipment, and assets, ensuring data consistency across the enterprise
Ensure Data Quality & Governance: Implement robust data quality checks, validation rules, and monitoring to ensure the accuracy, consistency, and reliability of our data. Adhere to and help shape our data governance policies
Embrace Industry Standards: Champion and implement industry-specific data standards and models, such as the OSDU™ Data Platform, to ensure interoperability and a unified data view across the upstream lifecycle
Collaborate & Innovate: Work closely with a cross-functional team of geoscientists, drilling engineers, data scientists, and business analysts to understand their data needs and deliver effective solutions
Automate & Optimize: Identify opportunities for process automation and infrastructure optimization to improve data delivery, scalability, and cost-effectiveness

Fulltime

Lead Data Engineer - Nexus Data Products

Do you love building and pioneering in the technology space? Do you enjoy solvin...

Location

United States , McLean

Salary:

197300.00 - 225100.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor’s Degree
At least 4 years of experience in application development (Internship experience does not apply)
At least 2 years of experience in big data technologies
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Job Responsibility

Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

What we offer

Performance based incentive compensation which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

Senior AWS Data Engineer / Data Platform Engineer

We are seeking a highly experienced Senior AWS Data Engineer to design, build, a...

Location

United Arab Emirates , Dubai

Salary:

Not provided

NorthBay

Expiration Date

Until further notice

Requirements

8+ years of experience in data engineering and data platform development
Strong hands-on experience with: AWS Glue
Amazon EMR (Spark)
AWS Lambda
Apache Airflow (MWAA)
Amazon EC2
Amazon CloudWatch
Amazon Redshift
Amazon DynamoDB
AWS DataZone

Job Responsibility

Design, develop, and optimize scalable data pipelines using AWS native services
Lead the implementation of batch and near-real-time data processing solutions
Architect and manage data ingestion, transformation, and storage layers
Build and maintain ETL/ELT workflows using AWS Glue and Apache Spark on EMR
Orchestrate complex data workflows using Apache Airflow (MWAA)
Develop and manage serverless data processing using AWS Lambda
Design and optimize data warehouses using Amazon Redshift
Implement and manage NoSQL data models using Amazon DynamoDB
Utilize AWS DataZone for data governance, cataloging, and access management
Monitor, log, and troubleshoot data pipelines using Amazon CloudWatch

Fulltime

New

Lead Data Engineer (Bank Tech)

Do you love building and pioneering in the technology space? Do you enjoy solvin...

Location

United States , New York, New York; Wilmington, Delaware

Salary:

179400.00 - 245600.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's Degree
At least 4 years of experience in application development (Internship experience does not apply)
At least 2 years of experience in big data technologies
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Job Responsibility

Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Fulltime

New

Lead Data Engineer

Lead Data Engineer. Do you love building and pioneering in the technology space?...

Location

United States , McLean, Virginia; Richmond, Virginia; Chicago, Illinois

Salary:

179400.00 - 225100.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's Degree
At least 4 years of experience in application development (Internship experience does not apply)
At least 2 years of experience in big data technologies
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Job Responsibility

Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Health benefits
Financial benefits
Other benefits

Fulltime

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