CrawlJobs Logo

Data Automation Engineer

https://www.roberthalf.com Logo

Robert Half

Location Icon

Location:
United States , Houston

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided
Save Job
Save Icon
Apply Position

Job Description:

We are seeking a delivery-focused Data Automation Engineer to design and implement innovative automation solutions across a Microsoft Azure-based data analytics platform. This role partners closely with engineering teams and stakeholders to translate business requirements into scalable data engineering and AI-enabled solutions. The ideal candidate is hands-on with Azure Data Factory, Synapse Pipelines, Apache Spark, Python, and SQL, and brings experience building reliable ETL pipelines across SQL and NoSQL environments. This role emphasizes performance optimization, automation, and proactive data quality within Agile DevOps delivery models.

Job Responsibility:

  • Develop high-performance data pipelines using Azure Data Factory, Synapse Pipelines, Spark Notebooks, Python, and SQL
  • Design ETL workflows supporting advanced analytics, reporting, and AI/ML use cases
  • Implement data migration, integrity, quality, metadata, and security controls across pipelines
  • Monitor, troubleshoot, and optimize pipelines for availability, scalability, and performance
  • Execute ETL performance testing and validate load performance against benchmarks
  • Analyze pipeline runtime, throughput, latency, and resource utilization
  • Support tuning activities (e.g., query optimization, partitioning, indexing)
  • Validate data completeness and consistency after high-volume processing
  • Collaborate with DevOps and infrastructure teams to optimize compute, memory, and scaling
  • Maintain versioning and configuration control across environments
  • Support production, testing, development, and integration environments
  • Actively participate in Agile delivery processes including Program Increment planning

Requirements:

  • Bachelor's degree in Computer Science or related field
  • 2+ years of experience with SQL, T-SQL, DAX/MDX, Python, or PySpark
  • Experience designing and building ETL solutions within cloud environments
  • Hands-on experience with Azure Data Factory, Synapse, or Azure Data Lake
  • Experience with Microsoft BI tools including SQL Server, SSIS, SSRS, SSAS, or Power BI
  • Familiarity with Azure/AWS CLI automation using Bash or PowerShell
  • Experience with Git or Azure DevOps for release/version management
  • Experience working in Agile environments
  • Ability to obtain a Public Trust clearance required

Nice to have:

  • Certification in Azure, Power BI, AI, or AWS data engineering
  • Experience with Generative AI tools or data automation use cases
  • Familiarity with REST APIs, Docker, or enterprise ETL tools
  • Exposure to performance tuning, query analytics, or data profiling
  • Knowledge of ARM/Bicep templates or RBAC access controls
  • Familiarity with data lineage or governance tools (e.g., Microsoft Purview)
What we offer:
  • Medical
  • Vision
  • Dental
  • Life and disability insurance
  • 401(k) plan

Additional Information:

Job Posted:
May 03, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Icon
Robert Half - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Data Automation Engineer

Senior Data Engineer – Data Engineering & AI Platforms

We are looking for a highly skilled Senior Data Engineer (L2) who can design, bu...
Location
Location
India , Chennai, Madurai, Coimbatore
Salary
Salary:
Not provided
optisolbusiness.com Logo
OptiSol Business Solutions
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
Read More
Arrow Right

Senior Software Engineer, Data Engineering

Join us in building the future of finance. Our mission is to democratize finance...
Location
Location
United States , Menlo Park
Salary
Salary:
146000.00 - 198000.00 USD / Year
robinhood.com Logo
Robinhood
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of professional experience building end-to-end data pipelines
  • Hands-on software engineering experience, with the ability to write production-level code in Python for user-facing applications, services, or systems (not just data scripting or automation)
  • Expert at building and maintaining large-scale data pipelines using open source frameworks (Spark, Flink, etc)
  • Strong SQL (Presto, Spark SQL, etc) skills
  • Experience solving problems across the data stack (Data Infrastructure, Analytics and Visualization platforms)
  • Expert collaborator with the ability to democratize data through actionable insights and solutions
Job Responsibility
Job Responsibility
  • Help define and build key datasets across all Robinhood product areas. Lead the evolution of these datasets as use cases grow
  • Build scalable data pipelines using Python, Spark and Airflow to move data from different applications into our data lake
  • Partner with upstream engineering teams to enhance data generation patterns
  • Partner with data consumers across Robinhood to understand consumption patterns and design intuitive data models
  • Ideate and contribute to shared data engineering tooling and standards
  • Define and promote data engineering best practices across the company
What we offer
What we offer
  • Market competitive and pay equity-focused compensation structure
  • 100% paid health insurance for employees with 90% coverage for dependents
  • Annual lifestyle wallet for personal wellness, learning and development, and more
  • Lifetime maximum benefit for family forming and fertility benefits
  • Dedicated mental health support for employees and eligible dependents
  • Generous time away including company holidays, paid time off, sick time, parental leave, and more
  • Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits
  • Bonus opportunities
  • Equity
  • Fulltime
Read More
Arrow Right

Software Engineer, Data Engineering

Join us in building the future of finance. Our mission is to democratize finance...
Location
Location
Canada , Toronto
Salary
Salary:
124000.00 - 145000.00 CAD / Year
robinhood.com Logo
Robinhood
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 3+ years of professional experience building end-to-end data pipelines
  • Hands-on software engineering experience, with the ability to write production-level code in Python for user-facing applications, services, or systems (not just data scripting or automation)
  • Expert at building and maintaining large-scale data pipelines using open source frameworks (Spark, Flink, etc)
  • Strong SQL (Presto, Spark SQL, etc) skills
  • Experience solving problems across the data stack (Data Infrastructure, Analytics and Visualization platforms)
  • Expert collaborator with the ability to democratize data through actionable insights and solutions
Job Responsibility
Job Responsibility
  • Help define and build key datasets across all Robinhood product areas. Lead the evolution of these datasets as use cases grow
  • Build scalable data pipelines using Python, Spark and Airflow to move data from different applications into our data lake
  • Partner with upstream engineering teams to enhance data generation patterns
  • Partner with data consumers across Robinhood to understand consumption patterns and design intuitive data models
  • Ideate and contribute to shared data engineering tooling and standards
  • Define and promote data engineering best practices across the company
What we offer
What we offer
  • bonus opportunities
  • equity
  • benefits
  • Fulltime
Read More
Arrow Right

Software Engineer (Data Engineering)

We are seeking a Software Engineer (Data Engineering) who can seamlessly integra...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
nstarxinc.com Logo
NStarX
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4+ years in Data Engineering and AI/ML roles
  • Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
  • Python, SQL, Bash, PySpark, Spark SQL, boto3, pandas
  • Apache Spark on EMR (driver/executor model, sizing, dynamic allocation)
  • Amazon S3 (Parquet) with lifecycle management to Glacier
  • AWS Glue Catalog and Crawlers
  • AWS Step Functions, AWS Lambda, Amazon EventBridge
  • CloudWatch Logs and Metrics, Kinesis Data Firehose (or Kafka/MSK)
  • Amazon Redshift and Redshift Spectrum
  • IAM (least privilege), Secrets Manager, SSM
Job Responsibility
Job Responsibility
  • Design, build, and maintain scalable ETL and ELT pipelines for large-scale data processing
  • Develop and optimize data architectures supporting analytics and ML workflows
  • Ensure data integrity, security, and compliance with organizational and industry standards
  • Collaborate with DevOps teams to deploy and monitor data pipelines in production environments
  • Build predictive and prescriptive models leveraging AI and ML techniques
  • Develop and deploy machine learning and deep learning models using TensorFlow, PyTorch, or Scikit-learn
  • Perform feature engineering, statistical analysis, and data preprocessing
  • Continuously monitor and optimize models for accuracy and scalability
  • Integrate AI-driven insights into business processes and strategies
  • Serve as the technical liaison between NStarX and client teams
What we offer
What we offer
  • Competitive salary and performance-based incentives
  • Opportunity to work on cutting-edge AI and ML projects
  • Exposure to global clients and international project delivery
  • Continuous learning and professional development opportunities
  • Competitive base + commission
  • Fast growth into leadership roles
  • Fulltime
Read More
Arrow Right

Automation NoSQL Data Engineer

HPE Operations is our innovative IT services organization. It provides the exper...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science, Information Systems, or equivalent
  • 7+ years of demonstrated experience working in software development teams with a strong focus on NoSQL databases and distributed data systems
  • Strong experience in automated deployment, troubleshooting, and fine-tuning technologies such as Apache Cassandra, Clickhouse, MongoDB, Apache Spark, Apache Flink, Apache Airflow, and similar technologies
  • Strong knowledge of NoSQL databases such as Apache Cassandra, Clickhouse, and MongoDB, including their installation, configuration, and performance tuning in production environments
  • Expertise in deploying and managing real-time data processing pipelines using Apache Spark, Apache Flink, and Apache Airflow
  • Experience in deploying and managing Apache Spark and Apache Flink operators on Kubernetes and other containerized environments, ensuring high availability and scalability of data processing jobs
  • Hands-on experience in configuring and optimizing Apache Spark and Apache Flink clusters, including fine-tuning resource allocation, fault tolerance, and job execution
  • Proficiency in authoring, automating, and optimizing Apache Airflow DAGs for orchestrating complex data workflows across Spark and Flink jobs
  • Strong experience with container orchestration platforms (like Kubernetes) to deploy and manage Spark/Flink operators and data pipelines
  • Proficiency in creating, managing, and optimizing Airflow DAGs to automate data pipeline workflows, handle retries, task dependencies, and scheduling
Job Responsibility
Job Responsibility
  • Think through complex data engineering problems in a fast-paced environment and drive solutions to reality
  • Work in a dynamic, collaborative environment to build DevOps-centered data solutions using the latest technologies and tools
  • Provide engineering-level support for data tools and systems deployed in customer environments
  • Respond quickly and professionally to customer emails/requests for assistance
What we offer
What we offer
  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion
  • Fulltime
Read More
Arrow Right

Software Engineer - Data Engineering

Akuna Capital is a leading proprietary trading firm specializing in options mark...
Location
Location
United States , Chicago
Salary
Salary:
130000.00 USD / Year
akunacapital.com Logo
AKUNA CAPITAL
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
Read More
Arrow Right

Sr. Data Engineer

We are looking for a Sr. Data Engineer to join our team.
Location
Location
Salary
Salary:
Not provided
bostondatapro.com Logo
Boston Data Pro
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Data Engineering: 8 years (Preferred)
  • Data Programming languages: 5 years (Preferred)
  • Data Developers: 5 years (Preferred)
Job Responsibility
Job Responsibility
  • Designs and implements standardized data management procedures around data staging, data ingestion, data preparation, data provisioning, and data destruction
  • Ensures quality of technical solutions as data moves across multiple zones and environments
  • Provides insight into the changing data environment, data processing, data storage and utilization requirements for the company, and offer suggestions for solutions
  • Ensures managed analytic assets to support the company’s strategic goals by creating and verifying data acquisition requirements and strategy
  • Develops, constructs, tests, and maintains architectures
  • Aligns architecture with business requirements and use programming language and tools
  • Identifies ways to improve data reliability, efficiency, and quality
  • Conducts research for industry and business questions
  • Deploys sophisticated analytics programs, machine learning, and statistical methods to efficiently implement solutions
  • Prepares data for predictive and prescriptive modeling and find hidden patterns using data
Read More
Arrow Right

Sr. Data Engineer

We are looking for a Sr. Data Engineer to join our team.
Location
Location
Salary
Salary:
Not provided
bostondatapro.com Logo
Boston Data Pro
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Data Engineering: 8 years (Preferred)
  • Data Programming languages: 5 years (Preferred)
  • Data Developers: 5 years (Preferred)
Job Responsibility
Job Responsibility
  • Designs and implements standardized data management procedures around data staging, data ingestion, data preparation, data provisioning, and data destruction
  • Ensures quality of technical solutions as data moves across multiple zones and environments
  • Provides insight into the changing data environment, data processing, data storage and utilization requirements for the company, and offer suggestions for solutions
  • Ensures managed analytic assets to support the company’s strategic goals by creating and verifying data acquisition requirements and strategy
  • Develops, constructs, tests, and maintains architectures
  • Aligns architecture with business requirements and use programming language and tools
  • Identifies ways to improve data reliability, efficiency, and quality
  • Conducts research for industry and business questions
  • Deploys sophisticated analytics programs, machine learning, and statistical methods to efficiently implement solutions
  • Prepares data for predictive and prescriptive modeling and find hidden patterns using data
Read More
Arrow Right