This contract role is for a Big Data Engineer experienced in designing and maintaining large-scale data infrastructure, pipelines, and processing systems.
You’ll apply your engineering expertise to build reliable data solutions and contribute high-quality technical input to the training and improvement of next-generation AI systems. The work involves large-scale data processing, Python development, distributed systems, databases, data quality, and governance.
What You’ll Do
Design, build, and maintain scalable data pipelines and architectures for large-scale data environments.
Translate business and technical requirements into reliable data engineering solutions.
Develop data integration, transformation, and processing workflows using Python and appropriate big data technologies.
Build, manage, and optimize distributed databases and storage systems for performance, reliability, and scalability.
Monitor data infrastructure, troubleshoot failures, and improve system availability and performance.
Implement data quality, security, and governance practices across data pipelines and platforms.
Apply sound data modeling, ETL, and data warehousing principles to support reliable data systems.
Collaborate with technical and non-technical stakeholders to understand requirements and communicate implementation decisions.
Document architectures, processes, technical solutions, and operational procedures clearly.
Requirements
Proven hands-on experience in big data engineering, including building and maintaining large-scale data pipelines.
Advanced proficiency in Python for data processing, automation, and system integration.
Strong understanding of relational and NoSQL databases, including database design, optimization, and administration.
Experience with distributed data processing frameworks such as Hadoop, Spark, or Flink.
Solid understanding of data modeling, ETL processes, and data warehousing principles.
Strong troubleshooting and analytical skills for diagnosing performance, reliability, and data-quality issues.
Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.
Detail-oriented, proactive, and comfortable working independently in a remote environment.
Preferred Qualifications
Experience working in fast-paced or startup-like environments.
Experience collaborating with globally distributed teams.
Hands-on experience with cloud-based data platforms and services, including AWS, Google Cloud, or Microsoft Azure.
Familiarity with MLOps, machine learning infrastructure, or data science workflows.
Experience building data systems that support analytics, machine learning, or other high-volume data applications.
Who Should Apply
This role is suited to data engineers who have practical experience working with large-scale datasets and distributed data systems. You should be comfortable moving between pipeline development, database optimization, data processing, infrastructure reliability, and data governance.
Strong independent problem-solving and communication skills are important, particularly for engineers working remotely and across multidisciplinary teams.
Compensation
Annual compensation equivalent: $62,400–$166,400
Hourly rate: $30–$80/hour
Annual equivalent is calculated at 40 hours per week × 52 weeks per year.
Actual earnings will depend on hours worked and the duration of the contract.
Work Arrangement
Contract position
Fully remote
Work focused on large-scale data engineering, distributed processing, databases, pipelines, and data infrastructure
Collaboration with cross-functional technical and business stakeholders
Big Data Engineer Contract · Remote Annual Compensation Equivalent: $62,400–$166,400/year Hourly Rate: $30–$80/hour About the Role This contract role is for a Big Data Engineer experienced in designing and maintaining large-scale data infrastructure, pipelines, and processing systems. You’ll apply your engineering expertise ...
... https://jobeax.com/link/2luqtWY4b55DMQvB Skills and Qualifications :- Proven expertise in big data engineering with hands-on experience building and maintaining large-scale data pipelines.- Advanced proficiency in Python for data processing, automation, and integration.- Deep understanding of relational and NoSQL databases, including ...
... looking for a Big Data Engineer to drive our mission to unlock potential of data assets by consistently innovating, eliminating friction in how users access data from its Big Data repositories and enforce standards and principles in the Big Data space. The candidate will be part of an exciting, fast paced environment developing ...
... you an all-around data enthusiast with a knack for ETL We're hiring Data Engineers to help build and optimize the foundational architecture of our product's data. We've built a strong data engineering team to date, but have a lot of work ahead of us, Migrating from relational databases to a streaming and big data architecture, ...
... resolve risk, conduct and compliance matters. Skills And Experience Data Engineering SQL Unix Scripting Devops Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field. 10+ years of experience in data engineering Strong proficiency in Python, Python-spark, shell scripting and SQL, with ...
... Product Owners, Business SMEs, Engineering teams, and other stakeholders to translate business requirements into scalable technical solutions. Google Cloud & Data Engineering Expertise Hands-on experience with Google's data ecosystem, including: BigQuery Dataproc Dataflow Pub/Sub BigTable Cloud Spanner Cloud SQL AlloyDB ...
... knowledge in the Big data tools such as AWS Redshift, Hadoop, map reduce etc. u2022 Having knowledge in tools like Airflow, AWS Glue, S3, AWS EMR, Streaming data pipelines, Kafka/Kinesis is desirable u2022 Assists in solving data engineering challenges by analyzing data issues and applying simple solutions, working under ...
... and adoption of emerging technologies including GenAI-enabled data engineering solutions. Your Skills & Experience: 8+ years of IT experience, with 5+ years in data engineering, big data, or related technologies. Proven experience leading the design and delivery of enterprise-scale data engineering solutions. Strong hands-on ...
... reporting and product development teams 3 to 6 years of experience in the field of data engineering - Graduate degree or higher with courses in programming, data analytics - Good programming skill in Python/scala or any scripting language - Good knowledge of SQL is a required - Basic knowledge and understanding of big ...
... computation so models can be retrained quickly and reliably. Collaborate with data engineers to implement scalable pipelines on Azure (Data Factory, Data Lake, Databricks) and deploy models via CI/CD processes (e.g. using Azure DevOps or similar tools). Ensure solutions adhere to secure coding practices and data governance ...
... Type : Full-TimeJob Summary:We are looking for an experienced Azure Data Engineer with 7+ years of expertise in designing, developing, and maintaining scalable data solutions on Microsoft Azure. The ideal candidate should have strong experience with Azure data services, ETL/ELT pipelines, cloud data warehousing, big data ...
Data Engineer – Chennai Experience: 3+ Years Immediate joiners preferred (or less than 20 days) Work Mode: Full-Time We are seeking highly skilled and experienced Senior Data Engineers with a deep understanding of data architecture, Big Data technologies, and large-scale data processing. The ideal candidate must have a ...
... Modelling, OLAP cube modelling.- Data compression into PARQUET to improve processing and finetuning SQL programming skills.- Experience building and optimizing "big data" data pipelines, architectures and data sets.- Experience performing root cause analysis on internal and external data and processes to answer specific business ...
... Responsibilities Develop, test, and maintain scalable Python applications. Work with large datasets to extract, transform, and analyze data. Build and optimize data pipelines and workflows. Perform data cleaning, validation, and preprocessing. Collaborate with cross-functional teams including data analysts and engineers. ...
... who enjoys solving real engineering problems and writing clean, scalable code. The ideal candidate will have a solid foundation in coding fundamentals and engineering principles, with hands-on experience in big data technologies such as Scala and Spark. The role involves working with cloud or on-premises data infrastructure ...
Company : Very big MNCRole : GCP Data EngineerExperience : 8 - 15 yrsNotice Period : 30 daysLocation : PAN INDIATech Stack :- GCP data engineer- Pyspark- Dataflow- Dataproc- BigQuery- AirflowKey Responsibilities :- Design, develop, and optimize endtoend data pipelines using PySpark, Dataflow, and Dataproc- Implement data ingestion, ...
Company : Very big MNCRole : GCP Data EngineerExperience : 8 - 15 yrsNotice Period : 30 daysLocation : PAN INDIATech Stack :- GCP data engineer- Pyspark- Dataflow- Dataproc- BigQuery- AirflowKey Responsibilities :- Design, develop, and optimize endtoend data pipelines using PySpark, Dataflow, and Dataproc- Implement data ingestion, ...
... related DevOps automation.- Automate infrastructure and application deployment processes using scripting and DevOps tools.- Collaborate with development, QA, data engineering, and infrastructure teams to improve deployment efficiency.- Implement best practices for source control, continuous integration, continuous delivery, ...
... experience in data engineering, building and maintaining large-scale data pipelines and platforms.- 2+ years of hands-on experience with Palantir Foundry, including data ingestion, pipeline builder, transformations and working with Foundry datasets and applications.- Experience building interactive applications using Foundry Workshop, ...