CrawlJobs Logo
Robert Half Logo Robert Half · IT - Software Development

Data Engineer

United States, Cincinnati · Job Posted February 20, 2026
Apply Position
Job Link Share

Job Description

We are looking for a skilled Data Engineer to join our team on a long-term contract basis. This position offers the opportunity to work remotely while contributing to critical data management and integration efforts. The ideal candidate will have hands-on experience with customer master data in ECC6, and the ability to create, maintain, and manage data effectively.

Job Responsibility

  • Develop and maintain customer master data within ECC6, ensuring data accuracy and consistency
  • Create new customer profiles and manage existing ones, maintaining high standards of data integrity
  • Support the integration process by working with custom tables related to customer data
  • Collaborate with cross-functional teams to ensure seamless data flow and effective data management
  • Utilize tools such as Apache Spark, Python, and ETL processes to extract, transform, and load data efficiently
  • Leverage Apache Hadoop for scalable data storage and processing solutions
  • Implement Apache Kafka to enable real-time data streaming and integration
  • Troubleshoot and resolve data-related issues, ensuring system reliability
  • Provide documentation and training to stakeholders on data management processes
  • Stay updated on industry best practices and emerging technologies to enhance data engineering workflows

Requirements

  • Proven experience working with customer master data in ECC6
  • Proficiency in Apache Spark for big data processing
  • Strong skills in Python for scripting and automation tasks
  • Hands-on experience with Apache Hadoop for data storage and processing
  • Familiarity with Apache Kafka for real-time data streaming
  • Expertise in ETL processes for data extraction, transformation, and loading
  • Excellent problem-solving skills and attention to detail
  • Effective communication and collaboration abilities in a remote work environment

What we offer

  • medical, vision, dental, and life and disability insurance
  • eligible to enroll in our company 401(k) plan
Robert Half - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Data Engineer

8 matching positions

Data Engineer

We are currently seeking a Data Engineer to join our team in Bangalore, Karnātak...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 9+ years in Data Engineering / Big Data / Platform Engineering with end to end delivery of large enterprise programs
  • Multi tenant database and data modeling expertise—designing tenant aware schemas and delivering efficient, robust database code and designs for websites and products
  • Advanced SQL across Oracle, Azure SQL Managed Instance (SQL MI), MySQL, and Snowflake
  • strong performance tuning and query optimization
  • Hands on with cloud data platforms: Azure (preferred), including big data services and integrations
  • Deep experience building ETL/ELT pipelines using Informatica, SnapLogic, Azure Functions, Python targeting Snowflake and other cloud data warehouses
  • Proven track record designing, developing, and deploying batch data processing pipelines and feature generation platforms using Azure, Python, and SQL
  • Strong DataOps/CI/CD for data and code: GitHub based workflows, automated database releases, and source control best practices across the SDLC
  • Experience with event/streaming: Azure Event Hubs, Kafka, or Amazon Kinesis
  • Azure platform proficiency, including: Azure Data Factory, Azure Databricks, AKS, Azure Service Bus (ASB), API Management, Storage Accounts, Event Hub/Event Grid, Redis Cache
  • Fulltime
Read More
Arrow Right
New

Data Engineer

As a Data Engineer, you will join Genus and work within the Data Platform Engine...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
https://www.randstad.com Logo
Randstad
Expiration Date
September 03, 2026
Flip Icon
Requirements
Requirements
  • Travel Occasional Travel will be required
  • Education Bachelors Degree or Equivilent in Computing related subject
  • Licenses/Certifications Desirable: Databricks Certified Professions
  • Dbt Certified
  • Microsoft Certified
  • SQL / T-SQL and analytical data warehouse development - 8+ years
  • Apache Spark experience using Python, PySpark and SparkSQL at scale - 5+ years
  • Expertise on performance optimisation and production stability of the data workloads - 3+ years
  • Expertise on building metadata-driven, reusable data pipelines using Databricks and ADF - 3+ years
  • Hands-on experience working with Delta-based datasets, multi-layer Lakehouse architectures, and evolving schemas - 3+ years
Job Responsibility
Job Responsibility
  • Design, develop, test, and deploy advanced data engineering solutions using Azure SQL Server, Python, PySpark, Databricks, and Azure Synapse
  • Optimize data models and queries for performance and resource efficiency
  • Build scalable data processing pipelines using Python and PySpark for large-scale data transformation and analytics
  • Implement and manage Databricks and Azure Synapse environments for big data processing and analytics
  • Develop and maintain data transformation models in dbt and Azure Data Factory
  • Ensure proper source control and deployment practices using Git and CI/CD tools (Azure DevOps, GitHub)
  • Collaborate with stakeholders to understand requirements and deliver technical solutions aligned with business needs
  • Guarantee data accuracy and integrity through data quality checks and cleansing processes
  • Performance tuning of SQL queries and data processing scripts
  • Manage and optimize the data platform for cost and performance, including proactive monitoring and self-healing design patterns
  • Fulltime
Read More
Arrow Right

Data Engineer

The Data Engineer position in Dallas, Texas, requires a Bachelor’s or Master’s d...
Location
Location
United States , Dallas
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Education: Bachelor's or Master's degree in Computer Science, Applied Mathematics, Engineering, or related field
  • Experience: Minimum 3–5 years of hands-on coding experience
  • ability to troubleshoot SQL and basic scripting
  • 3+ Years of Professional proficiency in Python or Java
  • 3+ Years of experience with SDLC, CI/CD best practices and Kubernetes (K8s) deployment experience
Job Responsibility
Job Responsibility
  • Engineer will be part of the datastore-migration Factory team responsible for end-to-end datastore migration from on-prem DataLake to AWS hosted LakeHouse
  • Refactoring and migrating extraction logic and job scheduling from legacy frameworks to the new Lakehouse environment
  • Executing the physical migration of underlying datasets while ensuring data integrity
  • Acting as a technical liaison to internal clients, facilitating handoff and sign-off conversations with data owners
  • Translating and optimizing legacy SQL and Spark-based consumption patterns for compatibility with Snowflake and Iceberg
  • Understanding usage patterns to deliver the required data products
  • Working on data reconciliation frameworks to ensure migrated data is functionally equivalent to production data
  • Working with internal data management platforms and learning new workflows and language constructs as necessary
  • Fulltime
Read More
Arrow Right

Data Engineer

Engineer will be part of the datastore-migration Factory team that will be respo...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's or Master's degree in Computer Science, Applied Mathematics, Engineering, or a related quantitative field
  • Minimum of 3-5 years of professional hands-on-keyboard coding experience in a collaborative, team-based environment
  • Ability to troubleshoot (SQL) and basic scripting experience
  • Professional proficiency in Python or Java
  • Deep familiarity with the full Software Development Life Cycle (SDLC) and CI/CD best practices & K8s deployment experience
  • Sophisticated understanding of Temporal Data Modeling, Schema Management, Performance Optimization, Architectural Theory
  • Experience with Kafka, ANSI SQL, FTP, Apache Spark
  • Data formats JSON, Avro, Parquet
  • Platforms Hadoop (HDFS/Hive), Snowflake, Apache Iceberg, Sybase IQ
Job Responsibility
Job Responsibility
  • Pipeline migration
  • Logic & Scheduling refactoring and migrating extraction logic and job scheduling from legacy frameworks to the new Lakehouse environment
  • Data Transfer executing the physical migration of underlying datasets while ensuring data integrity
  • Stakeholder Engagement acting as a technical liaison to internal clients, facilitating handoff and sign-off with data owners
  • Code Conversion translating and optimizing legacy SQL and Spark-based consumption patterns for compatibility with Snowflake and Iceberg
  • Usage analysis to deliver required data products
  • Data Reconciliation & Quality working with reconciliation frameworks to build confidence that migrated data is functionally equivalent
  • Working with other internal data management platform
  • Fulltime
Read More
Arrow Right

Data Engineer

The Data Engineer will play a crucial role in migrating data from on-prem DataLa...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, Engineering, or a related quantitative field
  • Minimum of 3-5 years of professional hands-on-keyboard coding experience in a collaborative, team-based environment
  • Ability to troubleshoot SQL and basic scripting experience
  • Professional proficiency in Python or Java
  • Deep familiarity with the full Software Development Life Cycle (SDLC) and CI/CD best practices and K8s deployment experience
  • Sophisticated understanding of Temporal Data Modeling, Schema Management, Performance Optimization, Architectural Theory
  • Kafka, ANSI SQL, FTP, Apache Spark
  • JSON, Avro, Parquet
  • Hadoop (HDFS/Hive), Snowflake, Apache Iceberg, Sybase IQ
Job Responsibility
Job Responsibility
  • Perform end-to-end datastore migration from on-prem DataLake to AWS LakeHouse
  • Pipeline Migration including refactoring and migrating extraction logic and job scheduling
  • Data Transfer executing physical migration of underlying datasets while ensuring data integrity
  • Stakeholder Engagement acting as technical liaison to internal clients
  • Consumption Pattern Migration including code conversion translating and optimizing legacy SQL and Spark-based consumption patterns for Snowflake and Iceberg
  • Usage analysis to understand usage patterns and deliver required data products
  • Data Reconciliation and Quality working with reconciliation frameworks to ensure data equivalence
  • Work with internal data management platform and learn new workflows
  • Fulltime
Read More
Arrow Right

Data Engineer

Goldman Sachs is seeking a Data Engineer to join their datastore-migration Facto...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, Engineering, or a related quantitative field
  • Minimum of 3-5 years of professional hands-on-keyboard coding experience in a collaborative, team-based environment
  • Ability to trouble shoot (SQL) and basic scripting experience
  • Professional proficiency in Python or Java
  • Deep familiarity with the full Software Development Life Cycle (SDLC) and CI/CD best practices & K8s deployment experience
  • Demonstrated understanding of Temporal Data Modeling (e.g., SCD Type 2)
  • Expertise in Schema Evolution (Ref: Iceberg Apache) and enforcement strategies
  • Advanced knowledge of data partitioning and clustering
  • Balancing Normalization vs. Denormalization and the strategic use of Natural vs. Surrogate Keys
  • Good conduct and ethical decision-making
Job Responsibility
Job Responsibility
  • Engineer will be part of the datastore-migration Factory team that will be responsible to perform for the end-to-end datastore migration from on-prem DataLake to AWS hosted LakeHouse
  • Pipeline Migration - Refactoring and migrating extraction logic and job scheduling from legacy frameworks to the new Lakehouse environment
  • Data Transfer - Executing the physical migration of underlying datasets while ensuring data integrity
  • Stakeholder Engagement - Acting as a technical liaison to internal clients, facilitating handoff and sign-off conversations with data owners to ensure migrated assets meet business requirements
  • Consumption Pattern Migration - Code Conversion: Translating and optimizing legacy SQL and Spark-based consumption patterns (raw and modeled) for compatibility with Snowflake and Iceberg
  • Usage analysis: Understand usage patterns to deliver the required data products
  • Stakeholder Engagement - Acting as a technical liaison to internal clients, facilitating handoff and sign-off conversations with data owners to ensure migrated assets meet business requirements
  • Data Reconciliation & Quality - A rigorous approach to data validation is required
  • Candidates must work with reconciliation frameworks to build confidence that migrated data is functionally equivalent to that already used within production flows
  • Engineer will also need to work with our other internal data management platform, and must have an aptitude for learning new workflows and language constructs as necessary
  • Fulltime
Read More
Arrow Right

Data Engineer

We are looking for a Data Engineer with 8-12 years of experience to design and b...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8–12 years of experience in Data Engineering
  • Strong hands on expertise in Python and SQL (Snowflake preferred)
  • Experience with REST APIs / data service integrations
  • Working knowledge of AI/ML systems, Agentic AI frameworks
Job Responsibility
Job Responsibility
  • Build and maintain scalable data pipelines using Python and SQL
  • Enable AI/ML and GenAI use cases, including data preparation and feature pipelines
  • Ensure data quality, reliability, security, and observability
  • Fulltime
Read More
Arrow Right

Data Engineer

As our new Data Engineer, you will join a collaborative and skilled organization...
Location
Location
Poland , Katowice
Salary
Salary:
Not provided
vattenfall.com Logo
Vattenfall
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong Python and SQL skills
  • Practical experience with cloud data platforms (Azure, Databricks) and with different data storage solutions, including data lakes, lake houses and analytical databases
  • Hands-on experience with streaming systems (Kafka, Spark or Flink)
  • Familiarity with Airflow, CI/CD, DevOps practices
  • Experience with Docker, Kubernetes, and Infrastructure-as-Code
  • Understanding of data contracts, time-series data, and event-driven systems
  • Fluency in English and interest in the energy domain
Job Responsibility
Job Responsibility
  • Design, build, and operate batch and real-time data pipelines using Azure, Databricks, and Python
  • Ingest and process external and internal data such as weather data, market prices, grid telemetry, and event streams
  • Work with streaming technologies including Kafka, Spark Structured Streaming, and Flink
  • Ensure high data quality through validation, monitoring, and lineage
  • Develop and improve data workflows, standards, and reliability in production systems
What we offer
What we offer
  • Good remuneration
  • challenging and international work environment
  • possibility to work with some of the best in the field
  • opportunities for personal and professional development
  • Fulltime
Read More
Arrow Right