Data Engineer (Kafka) Job at Altamira Technologies (Dayton, OH)

Principal Data Engineer

PointClickCare is searching for a Principal Data Engineer who will contribute to...

Location

United States

Salary:

183200.00 - 203500.00 USD / Year

PointClickCare

Expiration Date

Until further notice

Requirements

Principal Data Engineer with at least 10 years of professional experience in software or data engineering, including a minimum of 4 years focused on streaming and real-time data systems
Proven experience driving technical direction and mentoring engineers while delivering complex, high-scale solutions as a hands-on contributor
Deep expertise in streaming and real-time data technologies, including frameworks such as Apache Kafka, Flink, and Spark Streaming
Strong understanding of event-driven architectures and distributed systems, with hands-on experience implementing resilient, low-latency pipelines
Practical experience with cloud platforms (AWS, Azure, or GCP) and containerized deployments for data workloads
Fluency in data quality practices and CI/CD integration, including schema management, automated testing, and validation frameworks (e.g., dbt, Great Expectations)
Operational excellence in observability, with experience implementing metrics, logging, tracing, and alerting for data pipelines using modern tools
Solid foundation in data governance and performance optimization, ensuring reliability and scalability across batch and streaming environments
Experience with Lakehouse architectures and related technologies, including Databricks, Azure ADLS Gen2, and Apache Hudi
Strong collaboration and communication skills, with the ability to influence stakeholders and evangelize modern data practices within your team and across the organization

Job Responsibility

Lead and guide the design and implementation of scalable streaming data pipelines
Engineer and optimize real-time data solutions using frameworks like Apache Kafka, Flink, Spark Streaming
Collaborate cross-functionally with product, analytics, and AI teams to ensure data is a strategic asset
Advance ongoing modernization efforts, deepening adoption of event-driven architectures and cloud-native technologies
Drive adoption of best practices in data governance, observability, and performance tuning for streaming workloads
Embed data quality in processing pipelines by defining schema contracts, implementing transformation tests and data assertions, enforcing backward-compatible schema evolution, and automating checks for freshness, completeness, and accuracy across batch and streaming paths before production deployment
Establish robust observability for data pipelines by implementing metrics, logging, and distributed tracing for streaming jobs, defining SLAs and SLOs for latency and throughput, and integrating alerting and dashboards to enable proactive monitoring and rapid incident response
Foster a culture of quality through peer reviews, providing constructive feedback and seeking input on your own work

What we offer

Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!

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

Data Engineer

This role primarily involves designing, creating, and managing large datasets us...

Location

United States , Miami

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Proficiency in Apache Kafka, Apache Pig, and Apache Spark
Comprehensive understanding of Cloud Technologies
Ability to create and interpret Data Visualization
Experience with Algorithm Implementation
Strong background in Analytics
Familiarity with Apache Hadoop
Expertise in API Development
Proficient in AWS Technologies
Experience with Google Data Studio

Job Responsibility

Develop and implement algorithms to enhance data processing and analytics
Utilize tools like Apache Kafka, Apache Pig, and Apache Spark for data management and processing
Leverage cloud technologies for efficient data storage and retrieval
Collaborate with the team to develop APIs for data usage and sharing
Apply AWS Technologies for managing and processing large datasets
Implement data visualization strategies to represent data in a comprehensible way
Use Google Data Studio for effective data reporting and representation
Work with Apache Hadoop for distributed processing of large data sets across clusters
Ensure the implementation of efficient algorithms for data processing and analytics
Continuously monitor, refine and report on the performance of data management systems

What we offer

Medical, vision, dental, and life and disability insurance
Eligibility to enroll in company 401(k) plan

Fulltime

Senior Data Engineer

We are looking for a highly skilled Senior Data Engineer to join our team on a l...

Location

United States , Dallas

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related discipline
At least 7 years of experience in data engineering
Strong background in designing and managing data pipelines
Proficiency in tools such as Apache Kafka, Airflow, NiFi, Databricks, Spark, Hadoop, Flink, and Amazon S3
Expertise in programming languages like Python, Scala, or Java for data processing and automation
Strong knowledge of both relational and NoSQL databases
Experience with Kubernetes-based data engineering and hybrid cloud environments
Familiarity with data modeling principles, governance frameworks, and quality assurance processes
Excellent problem-solving, analytical, and communication skills

Job Responsibility

Design and implement robust data pipelines and architectures to support data-driven decision-making
Develop and maintain scalable data pipelines using tools like Apache Airflow, NiFi, and Databricks
Implement and manage real-time data streaming solutions utilizing Apache Kafka and Flink
Optimize and oversee data storage systems with technologies such as Hadoop and Amazon S3
Establish and enforce data governance, quality, and security protocols
Manage complex workflows and processes across hybrid and multi-cloud environments
Work with diverse data formats, including Parquet and Avro
Troubleshoot and fine-tune distributed data systems
Mentor and guide engineers at the beginning of their careers

What we offer

Medical, vision, dental, and life and disability insurance
401(k) plan
Free online training

Fulltime

Data Engineer

Our client is a rapidly growing technology company revolutionizing the automotiv...

Location

Japan , Tokyo

Salary:

7000000.00 - 13000000.00 JPY / Year

Randstad

Expiration Date

May 14, 2026

Requirements

3+ years of experience in data engineering or a similar role
Proven experience with data pipelines and infrastructure on AWS (S3, Kinesis Firehose)
Hands-on experience with Kafka
Proficiency in SQL and Python (or similar)
Experience with data governance and quality control
Experience creating reports and visualizations using data visualization tools
Understanding of data modeling and database design (relational and NoSQL)
Excellent collaboration and communication skills
Experience with agile methodologies
Ability to work effectively in English

Job Responsibility

Lead the development of cutting-edge data pipelines and build the future of electric vehicles in a dynamic and collaborative environment
Design, build, and manage the data infrastructure that powers our company's data-driven decisions
Leverage cloud technologies (primarily AWS) to ensure reliable data flow
Work closely with data analysts and product teams
Contribute to insightful data exploration and reporting
Design and implement scalable data pipelines using Kafka, AWS Kinesis Firehose, and Kubernetes
Manage and optimize data storage solutions on AWS S3
Develop ETL/ELT processes for data transformation
Monitor and optimize data infrastructure performance and reliability
Implement data quality checks and governance best practices

What we offer

休憩室
更衣室
健康保険
厚生年金保険
雇用保険

Fulltime

Lead Data Engineer

As a Lead Data Engineer at Rearc, you'll play a pivotal role in establishing and...

Location

United States

Salary:

Not provided

Rearc

Expiration Date

Until further notice

Requirements

10+ years of experience in data engineering, data architecture, or related technical fields
Proven ability to design, build, and optimize large-scale data ecosystems
Strong track record of leading complex data engineering initiatives
Deep hands-on expertise in ETL/ELT design, data warehousing, and data modeling
Extensive experience with data integration frameworks and best practices
Advanced knowledge of cloud-based data services and architectures (AWS Redshift, Azure Synapse Analytics, Google BigQuery, or equivalent)
Strong strategic and analytical thinking
Proficiency with modern data engineering frameworks (Databricks, Spark, lakehouse technologies like Delta Lake)
Exceptional communication and interpersonal skills

Job Responsibility

Engage deeply with stakeholders to understand data needs, business challenges, and technical constraints
Translate stakeholder needs into scalable, high-quality data solutions
Implement with a DataOps mindset using tools like Apache Airflow, Databricks/Spark, Kafka
Build reliable, automated, and efficient data pipelines and architectures
Lead and execute complex projects
Provide technical direction and set engineering standards
Ensure alignment with customer goals and company principles
Mentor and develop data engineers
Promote knowledge sharing and thought leadership
Contribute to internal and external content

What we offer

Comprehensive health benefits
Generous time away and flexible PTO
Maternity and paternity leave
Access to educational resources with reimbursement for continued learning
401(k) plan with company contribution

Data Engineer

We are seeking a Data Engineer to join our team based in Bethesda, Maryland. As ...

Location

United States , Bethesda

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Proficiency in Apache Kafka, Apache Pig, and Apache Spark
Extensive knowledge of cloud technologies
Demonstrated ability in data visualization
Experience with algorithm implementation
Strong analytics skills
Expertise in Apache Hadoop
Proven experience in API development
Familiarity with AWS technologies

Job Responsibility

Design robust data pipelines within Azure Data Lake
Implement effective data warehousing strategies
Collaborate with Power BI developers
Conduct data validation and audits
Troubleshoot pipeline processes
Work cross-functionally with different teams
Utilize Apache Kafka, Apache Pig, Apache Spark, and other cloud technologies
Develop APIs and use AWS technologies
Leverage Apache Hadoop for effective data management and analytics

What we offer

Medical, vision, dental, and life and disability insurance
Eligibility to enroll in company 401(k) plan

Fulltime

Staff Data Engineer

We’re looking for a Staff Data Engineer to own the design, scalability, and reli...

Location

United States , San Jose

Salary:

150000.00 - 250000.00 USD / Year

Figure

Expiration Date

Until further notice

Requirements

Experience owning or architecting large-scale data platforms — ideally in EV, autonomous driving, or robotics fleet environments, where telemetry, sensor data, and system metrics are core to product decisions
Deep expertise in data engineering and architecture (data modeling, ETL orchestration, schema design, transformation frameworks)
Strong foundation in Python, SQL, and modern data stacks (dbt, Airflow, Kafka, Spark, BigQuery, ClickHouse, or Snowflake)
Experience building data quality, validation, and observability systems to detect regressions, schema drift, and missing data
Excellent communication skills — able to understand technical needs from domain experts (controls, perception, operations) and translate complex data patterns into clear, actionable insights for engineers and leadership
First-principles understanding of electrical and mechanical systems, including motors, actuators, encoders, and control loops

Job Responsibility

Architect and evolve Figure’s end-to-end platform data pipeline — from robot telemetry ingestion to warehouse transformation and visualization
Improve and maintain existing ETL/ELT pipelines for scalability, reliability, and observability
Detect and mitigate data regressions, schema drift, and missing data via validation and anomaly-detection frameworks
Identify and close gaps in data coverage, ensuring high-fidelity metrics coverage across releases and subsystems
Define the tech stack and architecture for the next generation of our data warehouse, transformation framework, and monitoring layer
Collaborate with robotics domain experts (controls, perception, Guardian, fall-prevention) to turn raw telemetry into structured metrics that drive engineering/business decisions
Partner with fleet management, operators, and leadership to design and communicate fleet-level KPIs, trends, and regressions in clear, actionable ways
Enable self-service access to clean, documented datasets for engineers
Develop tools and interfaces that make fleet data accessible and explorable for engineers without deep data backgrounds

Fulltime

Data Engineer (Kafka)

Altamira Technologies

Location:
United States , Dayton, OH

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 04, 2026

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