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Data Engineer Contract Jobs in Saint Stephen, SC

DATA SCIENTIST

Moncks Corner, SC · On-site

$84K - $105K/yr

Leads complex, enterprise-scale data engineering initiatives, architect cloud-native warehousing ... Validations, profiling, data contracts, lineage/catalog documentation; adherence to privacy ...

... change management, contract administration, close-out administration, procurement management ... The firm partners with utilities, commercial, industrial, data center, and government clients, and ...

... change management, contract administration, close-out administration, procurement management ... The firm partners with utilities, commercial, industrial, data center, and government clients, and ...

Manages the process of compiling, analyzing and interpreting statistical data related to contract ... Mechanical Engineering, Industrial Engineering, or Electrical Engineering). Applicable specialized ...

FORESTER

Moncks Corner, SC · On-site

$60K - $75K/yr

Works closely with engineering, environmental, land services, operations, contractors, and property ... Administers contracts for timber harvesting, reforestation and herbicide applications as needed to ...

Drafter/Designer

Moncks Corner, SC · On-site

$40 - $50/hr

Benefits You'll Love NextDeavor offers health, vision and dental benefits for contract employees ... to engineering review * Use specifications, vendor data, and reference materials to complete ...

Assembler/Tester B

Moncks Corner, SC · On-site

$13.60 - $17/hr

Benefits You'll Love NextDeavor offers health, vision and dental benefits for contract employees ... Record test results on data forms and operate basic electrical equipment and flow meters

Assembler/Tester B

Moncks Corner, SC · On-site

$10 - $12.68/hr

Benefits You'll Love NextDeavor offers health, vision and dental benefits for contract employees ... data forms and use basic electrical equipment and flow meters * Interpret blueprints, engineering ...

Assembler/Tester B

Moncks Corner, SC · On-site

$10 - $12.68/hr

Benefits You'll Love NextDeavor offers health, vision and dental benefits for contract employees ... data forms and use basic electrical equipment and flow meters * Interpret blueprints, engineering ...

Benefits You'll Love NextDeavor offers health, vision and dental benefits for contract employees ... data forms and use basic electrical equipment and flow meters * Interpret blueprints, engineering ...

... data center project. The ideal candidate will possess a strong commitment to ensuring a safe work ... Job Type & Location This is a Contract to Hire position based out of Goose Creek, SC. Pay and ...

... contractors, engineers, subcontractors, and suppliers. Manage vendor selection, contract ... Experience in mission-critical facilities like data centers is often a plus. * Technical Knowledge

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Showing results 1-20

Data Engineer Contract information

See Saint Stephen, SC salary details

$44.4K

$129.5K

$177.1K

How much do data engineer contract jobs pay per year?

As of Aug 28, 2026, the average yearly pay for data engineer contract in Saint Stephen, SC is $129,455.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,300.00 and $137,200.00 per year, depending on experience, location, and employer.

What is a data engineer contract?

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 typical daily responsibilities of a data engineer contract?

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 cities near Saint Stephen, SC are hiring for Data Engineer Contract jobs?

Cities near Saint Stephen, SC with the most Data Engineer Contract job openings:

Infographic showing various Data Engineer Contract job openings in Saint Stephen, SC as of August 2026, with employment types broken down into 55% Full Time, and 45% Contract. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $129,455 per year, or $62.2 per hour.

DATA SCIENTIST

SANTEE COOPER

Moncks Corner, SC • On-site

$84K - $105K/yr

Full-time

Re-posted 7 days ago


Santee Cooper rating

7.4

Company rating: 7.4 out of 10

Based on 10 frontline employees who took The Breakroom Quiz


Job description

Position Description:
Leads complex, enterprise-scale data engineering initiatives, architect cloud-native warehousing solutions, and mentor junior staff. You will design end-to-end ETL/ELT and analytics platforms using Databricks, Informatica, Python, SQL, and cloud services; set and enforce engineering standards; and engage stakeholders to translate business requirements into robust, secure, and performant data products that power analytics, reporting, and ML workflows.
This position is responsible for architecting and delivering cloud-native data platforms and pipelines that provide reliable, governed, and scalable data to the enterprise. Data Engineer III leads migrations to modern cloud warehouses, defines and enforces best practices (ETL design, coding standards, security), and builds modular, reusable components for analytics/reporting/ML. The role optimizes throughput, latency, and reliability, establishes SLAs and observability, and mentors engineers to uplift team capability.
Operates with broad autonomy, collaborating with executive and technical stakeholders to translate requirements into engineering specifications, cost-aware architectures, and operational runbooks. Ensures data governance (lineage, catalog, privacy), compliance, and resilience, while driving continuous improvement across performance tuning, incident response, and reliability engineering.
Essential Job Tasks:
  • Architects and develops enterprise-scale cloud data pipelines and warehousing solutions.
  • Leads migration initiatives from legacy platforms to cloud-native data warehouses.
  • Defines and enforces ETL/ELT design standards, coding practices, and security controls.
  • Builds modular, reusable data components for analytics, reporting, and ML feature pipelines.
  • Optimizes pipeline performance (throughput, latency, reliability) and establish SLAs/monitoring.
  • Provides technical leadership and mentor junior engineers; document frameworks and patterns.
  • Engages stakeholders; translate business requirements into engineering specs and roadmaps.
  • Governs data quality, lineage, and cataloging; ensure compliance with privacy/security policies.

*Will consider Data Scientist II or III
Position Requirements:
Data Scientist II
  • Bachelor's Degree in Computer Science, Engineering, or related discipline + 2 years experience or Master's Degree in Computer Science, Engineering, or related discipline + 1 year experience in data engineering (ETL/ELT, cloud warehousing, analytics) with advanced expertise in Databricks, Informatica, Python, SQL, and cloud data platforms.
  • Must have strong background in cloud data architecture, governance, performance optimization, and technical leadership/communication.
  • Must have experience in the following:
    • Languages and platforms: Proficient in Python and SQL; Databricks (notebooks/jobs) and Informatica (ETL/ELT).
    • Cloud platforms: Hands on with Azure/AWS/GCP; familiarity with storage, compute, IAM, networking basics.
    • Data warehousing: Modeling (dimensional/star), partitioning, Delta/Parquet, medallion architecture; performance tuning.
    • Orchestration and reliability: Job scheduling, retries, alerting; CI/CD basics for data pipelines.
    • Data governance and quality: Validations, profiling, data contracts, lineage/catalog documentation; adherence to privacy/security policies. Collaboration and delivery: Translate stakeholder requirements; produce clear documentation and reproducible code artifacts; manage SLAs.
  • Preferred experience in the following:
    • Orchestration: Airflow/Prefect, event-driven and batch scheduling; SCD patterns, CDC/streaming (Kafka/EventHub).
    • Platform components: Delta Live Tables, Feature Stores, Databricks SQL/Unity governance; Terraform/Bicep for infra-as-code.
    • Integration: APIs, semi-structured/unstructured data (JSON/Avro), file ingestion at scale; federated/virtualized query layers.
    • Domain: Utility/energy datasets (AMI, SCADA), compliance/governance in regulated environments.

Compensation Information:
$84,180 - $105,210 (min. - mid.)
Data Scientist III
  • Bachelor's Degree in Computer Science, Engineering, or related discipline + 5 years experience or master's degree in computer science, Engineering, or related discipline + 3 years experience in data engineering (ETL/ELT, cloud warehousing, analytics) with advanced expertise in Databricks, Informatica, Python, SQL, and cloud data platforms.
  • Must have strong background in cloud data architecture, governance, performance optimization, and technical leadership/communication.
  • Must have experience in the following:
    • Languages and platforms: Advanced Python and SQL; Databricks (Spark, jobs, Delta), Informatica (ETL/ELT).
    • Cloud architecture: Azure/AWS/GCP services for storage/compute/IAM/networking; cost-aware, secure designs.
    • Data warehousing: Dimensional/star modeling, Delta/Parquet, medallion architecture, performance tuning, partitioning/z-ordering.
    • Engineering excellence: CI/CD for data pipelines, environment management (conda/poetry), testing (unit/integration/data tests), observability (logging/metrics/alerts).
    • Data governance and quality: Unity Catalog (or equivalent), lineage, data contracts, DQ checks, privacy/security controls.
    • Leadership and collaboration: Stakeholder management, specification writing, mentoring, documentation of standards and runbooks.
  • Preferred experience in the following:
    • Orchestration: Airflow/Prefect, event-driven and batch scheduling; SCD patterns, CDC/streaming (Kafka/EventHub).
    • Platform components: Delta Live Tables, Feature Stores, Databricks SQL/Unity governance; Terraform/Bicep for infra-as-code.
    • Integration: APIs, semi-structured/unstructured data (JSON/Avro), file ingestion at scale; federated/virtualized query layers.
    • Domain: Utility/energy datasets (AMI, SCADA), compliance/governance in regulated environments.

Compensation Information:
$104,620 - $130,770 (min. - mid.)

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