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Data Engineer Contract Jobs in Fishers, IN (NOW HIRING)

Data Engineer IV

Indianapolis, IN ยท On-site

$69 - $71/hr

Data Engineer IV Location: Remote, USA Duration ... Contract - 12 months Pay Range: $69/hr $71/hr (W2) Job ID: 406789 About BCforward BCforward is a ...

Architect cross-application data models and Data Contracts (OpenAPI/AsyncAPI) to standardize ... Platform Engineering & Integration * System Interoperability: Lead the integration of platform ...

As a Lead Platform Data Engineer, you will oversee the data architecture connecting product ... Contracts (OpenAPI/AsyncAPI) to standardize identity layers and ensure consistency across the ...

Architect cross-application data models and Data Contracts (OpenAPI/AsyncAPI) to standardize ... Platform Engineering & Integration * System Interoperability: Lead the integration of platform ...

Shift-Left, DevTestOps, contract testing, performance engineering, data validation, and program-level quality governance. * Integrate and optimize vendor testing platforms/tools (e.g., PractiTest ...

Operations Data Analyst

Indianapolis, IN ยท On-site

$59.69 - $70.22/hr

Indianapolis, IN (Hybrid) Type: 17 month contract Compensation: $59.69-70.22/hour, depending on ... Proficiency in SQL, Excel, and at least one statistical programming language (Python or R)

New

Data Analyst (HEDIS)

Indianapolis, IN ยท On-site

$51 - $55/hr

Remote Duration: Contract - 10 months Pay Range: $51/hr - $55/hr (W2) Job ID: 406936 About ... Six or more years in programming or data analysis, including data administration, repository ...

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Data Engineer Contract information

See Fishers, IN salary details

$41.7K

$121.4K

$166.1K

How much do data engineer contract jobs pay per year?

As of Jul 31, 2026, the average yearly pay for data engineer contract in Fishers, IN is $121,415.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,200.00 and $128,700.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a Data Engineer on a contract basis?

As a Data Engineer contractor, your day-to-day tasks often include designing, building, and maintaining data pipelines, implementing ETL processes, and preparing datasets for analytics or machine learning teams. You may be asked to collaborate with data scientists, analysts, and other engineers to understand data requirements and resolve technical issues. Contractors also frequently assess data quality, optimize performance, and document their work for seamless team integration. The role is fast-paced and may require you to quickly adapt to new projects or technologies, making it ideal for those who enjoy dynamic, project-based environments.

What are the key skills and qualifications needed to thrive in the Data Engineer Contract position, and why are they important?

To thrive as a Data Engineer Contract, you need expertise in data modeling, ETL processes, and proficiency with programming languages such as Python or SQL, often supported by a degree in computer science or related field. Familiarity with big data platforms like Hadoop or Spark, experience with cloud services (AWS, GCP, or Azure), and certifications in relevant technologies are highly valued. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills. These abilities ensure data engineers can efficiently design scalable pipelines, troubleshoot issues, and collaborate across teams to support data-driven decision-making.

What is a Data Engineer Contract job?

A Data Engineer Contract job is a temporary or project-based role where a data engineer is hired for a specific duration to design, build, and maintain data pipelines and infrastructure. Contract data engineers often work with big data technologies, ETL processes, and cloud platforms to ensure data is efficiently processed and accessible. These roles can be short-term (a few months) or long-term (a year or more), depending on the project's needs. Contractors may work independently or as part of a larger data team, and they are typically paid hourly or per project rather than receiving a fixed salary and benefits like full-time employees.

What are the most commonly searched types of Data Engineer jobs in Fishers, IN? The most popular types of Data Engineer jobs in Fishers, IN are:
What are popular job titles related to Data Engineer Contract jobs in Fishers, IN? For Data Engineer Contract jobs in Fishers, IN, the most frequently searched job titles are:
What cities near Fishers, IN are hiring for Data Engineer Contract jobs? Cities near Fishers, IN with the most Data Engineer Contract job openings:
Infographic showing various Data Engineer Contract job openings in Fishers, IN as of July 2026, with employment types broken down into 1% As Needed, 62% Full Time, 19% Part Time, 1% Temporary, and 17% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $121,415 per year, or $58.4 per hour.

Data Engineer IV

BC Forward

Indianapolis, IN โ€ข On-site

$69 - $71/hr

Other

Posted 20 days ago


Job description

Job Title: Data Engineer IV Location: Remote, USA Duration: Contract - 12 months Pay Range: $69/hr $71/hr (W2) Job ID: 406789 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Data Engineer IV to join our dynamic team supporting client Customer Experience organization. The ideal candidate will have strong experience in building scalable data pipelines, data architectures, and self-service analytics with AI enablement and a proven ability to deliver actionable insights, automate workflows, and improve customer experience outcomes. Responsibilities: Design, develop, integrate, launch, and maintain scalable batch and streaming data pipelines across PSO. Build and optimize ETL/ELT workflows, data models, and data warehouse architectures. Implement data quality frameworks with validation, monitoring, alerting, and lineage tracking. Develop and manage orchestration workflows (e.g., Airflow, Dataswarm) for scheduling and dependencies. Optimize query performance, pipeline efficiency, and storage costs at scale. Create interactive visualizations and self-service dashboards that communicate complex insights. Integrate diverse data sources including customer interactions, feedback, behavioral data, and operational logs. Develop and track KPIs to measure the effectiveness of customer experience initiatives. Enable AI/ML analytics by building feature pipelines, curated datasets, and model-ready assets. Leverage LLMs and generative AI to automate data workflows and accelerate insight generation. Develop prompt engineering frameworks, AI-assisted reporting, and intelligent automation solutions. Partner with engineering and data science to integrate model outputs into dashboards and operations. Evaluate emerging AI tools and techniques to advance analytics and data engineering capabilities. Collaborate with customer service, operations, product, and engineering to drive data-informed decisions. Champion data literacy and AI enablement through documentation, training, and best practices. Required Skills & Qualifications: 8+ years of experience in quantitative and operational analyses within customer support/service, e-commerce, or order management. Proven data engineering skills building production-grade pipelines, data models, and ETL/ELT at scale. Proficiency in SQL and one programming language, preferably Python. Experience with data warehousing platforms such as Hive, Presto, Spark, Snowflake, or BigQuery. Experience with workflow orchestration tools such as Airflow or Dataswarm. Experience creating self-service dashboards with Tableau, Looker, or equivalent. Knowledge of data quality frameworks, data governance, and dimensional data modeling. Hands-on AI/ML enablement experience, including feature pipelines or LLM-based analytics workflows. Ability to manipulate large datasets to generate insights and solutions. Record of operating independently, managing ambiguity, and delivering results. Strong communication skills for technical and non-technical audiences. Cross-functional experience influencing change through data-driven insights. Preferred Skills: Experience with generative AI, including prompt engineering, RAG, LLM APIs, or agent workflows. Familiarity with Git, CI/CD for data pipelines, and infrastructure-as-code. Experience with streaming technologies such as Kafka or Spark Streaming. Knowledge of metadata management, data cataloging, and lineage tools. Background in CX/CS operations and metrics; familiarity with Salesforce. Experience with digital analytics tools such as Google Analytics or Adobe Analytics. Experience scripting automation and internal tooling in Python or Bash. Familiarity with agile development methodologies. Experience in high-volume consumer electronics and operations for customer experience or support. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.