Big Data Engineer - AWS Job at Rackspace (Giza)

Data Engineer (AWS)

Fyld is a Portuguese consulting company specializing in IT services. We bring hi...

Location

Portugal , Lisboa

Salary:

Not provided

Fyld

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or related
Relevant certifications in AWS, such as AWS Certified Solutions Architect, AWS Certified Developer, or AWS Certified Data Analytics
Hands-on experience with AWS services, especially those related to Big Data and data analytics, such as Amazon Redshift, Amazon EMR, Amazon Athena, Amazon Kinesis, Amazon Glue, among others
Familiarity with data storage and processing services on AWS, including Amazon S3, Amazon RDS, Amazon DynamoDB, and AWS Lambda
Proficiency in programming languages such as Python, Scala, or Java for developing data pipelines and automation scripts
Knowledge of distributed data processing frameworks, such as Apache Spark or Apache Flink
Experience in data modeling, cleansing, transformation, and preparation for analysis
Ability to work with different types of data, including structured, unstructured, and semi-structured data
Familiarity with data architecture concepts such as data lakes, data warehouses, and data pipelines (not mandatory)
Knowledge of security and compliance practices on AWS, including access control, data encryption, and regulatory compliance

Fulltime

Senior Engineering Manager, Big Data

Checkr is looking for a Senior Engineering Manager to lead the Criminal Data tea...

Location

United States , Denver

Salary:

201000.00 - 237000.00 USD / Year

Checkr

Expiration Date

Until further notice

Requirements

6+ years as an engineering manager
8+ years as an engineer
Exceptional verbal and written communication skills
Unparalleled bar for quality (data quality metrics, QC gates, data governance, automated regression test suites, data validations, etc)
Experience working on data products at scale and understanding the legal, human impact, and technical nuances of supporting a highly regulated product
Experience designing and maintaining: Real-time & batch processing data pipelines serving up billions of data points
Normalizing and cleansing data across a medallion lakehouse architecture
Systems that rely on high-volume, low-latency messaging infrastructure (e.g. Kafka or similar)
Highly tolerant production systems with streamlined operations (data lineage, logging, telemetry, alerting, etc.)
Familiarity with AWS Glue, OpenSearch, EMR, etc

Job Responsibility

Drive a motivating technical vision for the team
Partner closely with product management to solve business problems
Work with the team to build a world-class architecture that can scale into the next phase of Checkr’s growth
Hire the best talent and continue to raise the bar for the team
Represent the team in planning and product meetings
Optimize engineering processes and policies to drive velocity and quality

What we offer

A fast-paced and collaborative environment
Learning and development allowance
Competitive compensation and opportunity for advancement
100% medical, dental, and vision coverage
Up to 25K reimbursement for fertility, adoption, and parental planning services
Flexible PTO policy
Monthly wellness stipend, home office stipend

Fulltime

Senior Engineering Manager, Big Data

Checkr is looking for a Senior Engineering Manager to lead the Criminal Data tea...

Location

United States , San Francisco

Salary:

238000.00 - 280000.00 USD / Year

Checkr

Expiration Date

Until further notice

Requirements

6+ years as an engineering manager
8+ years as an engineer
Exceptional verbal and written communication skills
Unparalleled bar for quality (data quality metrics, QC gates, data governance, automated regression test suites, data validations, etc)
Experience working on data products at scale and understanding the legal, human impact, and technical nuances of supporting a highly regulated product
Experience designing and maintaining: Real-time & batch processing data pipelines serving up billions of data points
Normalizing and cleansing data across a medallion lakehouse architecture
Systems that rely on high-volume, low-latency messaging infrastructure (e.g. Kafka or similar)
Highly tolerant production systems with streamlined operations (data lineage, logging, telemetry, alerting, etc.)
Familiarity with AWS Glue, OpenSearch, EMR, etc

Job Responsibility

Drive a motivating technical vision for the team
Partner closely with product management to solve business problems
Work with the team to build a world-class architecture that can scale into the next phase of Checkr’s growth
Hire the best talent and continue to raise the bar for the team
Represent the team in planning and product meetings
Optimize engineering processes and policies to drive velocity and quality

What we offer

A fast-paced and collaborative environment
Learning and development allowance
Competitive compensation and opportunity for advancement
100% medical, dental, and vision coverage
Up to 25K reimbursement for fertility, adoption, and parental planning services
Flexible PTO policy
Monthly wellness stipend, home office stipend

Fulltime

Senior Big Data Engineer

The Big Data Engineer is a senior level position responsible for establishing an...

Location

Canada , Mississauga

Salary:

94300.00 - 141500.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

5+ Years of Experience in Big Data Engineering (PySpark)
Data Pipeline Development: Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources
Big Data Infrastructure: Develop and manage large-scale data processing systems using frameworks like Apache Spark, Hadoop, and Kafka
Proficiency in programming languages like Python, or Scala
Strong expertise in data processing frameworks such as Apache Spark, Hadoop
Expertise in Data Lakehouse technologies (Apache Iceberg, Apache Hudi, Trino)
Experience with cloud data platforms like AWS (Glue, EMR, Redshift), Azure (Synapse), or GCP (BigQuery)
Expertise in SQL and database technologies (e.g., Oracle, PostgreSQL, etc.)
Experience with data orchestration tools like Apache Airflow or Prefect
Familiarity with containerization (Docker, Kubernetes) is a plus

Job Responsibility

Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients and assets

Fulltime

Senior Big Data Engineer

The Big Data Engineer is a senior level position responsible for establishing an...

Location

Canada , Mississauga

Salary:

94300.00 - 141500.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

5+ Years of Experience in Big Data Engineering (PySpark)
Data Pipeline Development: Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources
Big Data Infrastructure: Develop and manage large-scale data processing systems using frameworks like Apache Spark, Hadoop, and Kafka
Proficiency in programming languages like Python, or Scala
Strong expertise in data processing frameworks such as Apache Spark, Hadoop
Expertise in Data Lakehouse technologies (Apache Iceberg, Apache Hudi, Trino)
Experience with cloud data platforms like AWS (Glue, EMR, Redshift), Azure (Synapse), or GCP (BigQuery)
Expertise in SQL and database technologies (e.g., Oracle, PostgreSQL, etc.)
Experience with data orchestration tools like Apache Airflow or Prefect
Familiarity with containerization (Docker, Kubernetes) is a plus

Job Responsibility

Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency

What we offer

Well-being support
Growth opportunities
Work-life balance support

Fulltime

Senior Data Engineer – Data Engineering & AI Platforms

We are looking for a highly skilled Senior Data Engineer (L2) who can design, bu...

Location

India , Chennai, Madurai, Coimbatore

Salary:

Not provided

OptiSol Business Solutions

Expiration Date

Until further notice

Requirements

Strong hands-on expertise in cloud ecosystems (Azure / AWS / GCP)
Excellent Python programming skills with data engineering libraries and frameworks
Advanced SQL capabilities including window functions, CTEs, and performance tuning
Solid understanding of distributed processing using Spark/PySpark
Experience designing and implementing scalable ETL/ELT workflows
Good understanding of data modeling concepts (dimensional, star, snowflake)
Familiarity with GenAI/LLM-based integration for data workflows
Experience working with Git, CI/CD, and Agile delivery frameworks
Strong communication skills for interacting with clients, stakeholders, and internal teams

Job Responsibility

Design, build, and maintain scalable ETL/ELT pipelines across cloud and big data platforms
Contribute to architectural discussions by translating business needs into data solutions spanning ingestion, transformation, and consumption layers
Work closely with solutioning and pre-sales teams for technical evaluations and client-facing discussions
Lead squads of L0/L1 engineers—ensuring delivery quality, mentoring, and guiding career growth
Develop cloud-native data engineering solutions using Python, SQL, PySpark, and modern data frameworks
Ensure data reliability, performance, and maintainability across the pipeline lifecycle—from development to deployment
Support long-term ODC/T&M projects by demonstrating expertise during technical discussions and interviews
Integrate emerging GenAI tools where applicable to enhance data enrichment, automation, and transformations

What we offer

Opportunity to work at the intersection of Data Engineering, Cloud, and Generative AI
Hands-on exposure to modern data stacks and emerging AI technologies
Collaboration with experts across Data, AI/ML, and cloud practices
Access to structured learning, certifications, and leadership mentoring
Competitive compensation with fast-track career growth and visibility

Fulltime

AWS Data Engineer

AlgebraIT is hiring an AWS Data Engineer in Austin, Texas! If you have at least ...

Location

United States , Austin

Salary:

Not provided

AlgebraIT

Expiration Date

Until further notice

Requirements

3+ years of experience in data engineering with AWS
Proficiency in Python, SQL, and big data tools
Experience with AWS services such as Lambda and EC2
Strong communication and teamwork skills
Bachelor’s in Computer Science or similar

Job Responsibility

Develop and maintain data pipelines using AWS services
Automate data ingestion and processing workflows
Collaborate with cross-functional teams to ensure robust data solutions
Monitor and optimize data pipeline performance
Ensure data quality and implement security best practices
Integrate data from multiple sources for analytics
Implement data validation and error-handling processes
Write and maintain technical documentation for data workflows
Manage and configure cloud infrastructure related to data pipelines
Provide technical support and troubleshooting for data-related issues

Fulltime

Software Engineer - Data Engineering

Akuna Capital is a leading proprietary trading firm specializing in options mark...

Location

United States , Chicago

Salary:

130000.00 USD / Year

AKUNA CAPITAL

Expiration Date

Until further notice

Requirements

BS/MS/PhD in Computer Science, Engineering, Physics, Math, or equivalent technical field
5+ years of professional experience developing software applications
Java/Scala experience required
Highly motivated and willing to take ownership of high-impact projects upon arrival
Prior hands-on experience with data platforms and technologies such as Delta Lake, Spark, Kubernetes, Kafka, ClickHouse, and/or Presto/Trino
Experience building large-scale batch and streaming pipelines with strict SLA and data quality requirements
Must possess excellent communication, analytical, and problem-solving skills
Recent hands-on experience with AWS Cloud development, deployment and monitoring necessary
Demonstrated experience working on an Agile team employing software engineering best practices, such as GitOps and CI/CD, to deliver complex software projects
The ability to react quickly and accurately to rapidly changing market conditions, including the ability to quickly and accurately respond and/or solve math and coding problems are essential functions of the role

Job Responsibility

Work within a growing Data Engineering division supporting the strategic role of data at Akuna
Drive the ongoing design and expansion of our data platform across a wide variety of data sources, supporting an array of streaming, operational and research workflows
Work closely with Trading, Quant, Technology & Business Operations teams throughout the firm to identify how data is produced and consumed, helping to define and deliver high impact projects
Build and deploy batch and streaming pipelines to collect and transform our rapidly growing Big Data set within our hybrid cloud architecture utilizing Kubernetes/EKS, Kafka/MSK and Databricks/Spark
Mentor junior engineers in software and data engineering best practices
Produce clean, well-tested, and documented code with a clear design to support mission critical applications
Build automated data validation test suites that ensure that data is processed and published in accordance with well-defined Service Level Agreements (SLA’s) pertaining to data quality, data availability and data correctness
Challenge the status quo and help push our organization forward, as we grow beyond the limits of our current tech stack

What we offer

Discretionary performance bonus
Comprehensive benefits package that may encompass employer-paid medical, dental, vision, retirement contributions, paid time off, and other benefits

Fulltime

Big Data Engineer - AWS

Rackspace

Location:
Egypt , Giza

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 18, 2026

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