SAP

SAP Data Jobs

11 jobs found

18d ago

Data Analyst

JY Legner Associates Lexington, KY

Lexington, KY

18d ago

$42 - $48/hr Contract Analyst Analytical Skills Analytics

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Job Description

JY Legner Associates seeks a detail-oriented Data Analyst to bolster ERP management processes and everyday business operations through careful data aggregation, cleansing, analysis, and reporting. The role collaborates across multiple functions to convert data into actionable insights that drive performance measurement and strategic decisions. Based in Lexington, Kentucky, the position offers a hybrid work arrangement with on-site work required during the training period.

Responsibilities

Consolidate, cleanse, validate, and analyze data across varied ERP management processes and focus areas.
Create, maintain, and report on core business performance indicators (KPIs).
Provide analytical support for financial operations and related business functions.
Support material tracking and inventory processes with data-driven analysis.
Monitor end-to-end communication activity to inform operational decisions.
Support regulatory and customer reporting functions with data insights.
Extract data from multiple sources to inform analysis and reporting efforts.
Identify trends, patterns, and actionable insights to guide strategic decisions.
Offer analytical backing for a range of business initiatives and projects.
Collaborate with cross-functional teams to improve reporting accuracy and efficiency.

Requirements

Bachelor’s degree in Data Science, Computer Science, Information Systems, Analytics, or a related field.
1–3 years of experience in data analytics, data science, or a similar analytical role.
Experience working with Oracle.
Experience working with SAP.
Proficiency with the Microsoft Office Suite, especially Excel.
Experience gathering, cleansing, and preparing data from multiple sources for analysis.
Strong analytical and problem-solving abilities with the capacity to translate data into meaningful business insights.
Ability to manage multiple priorities and collaborate effectively in a team environment.

Technologies

Oracle
SAP
Microsoft Office Suite
Excel
Maximo

Benefits

401(k) with 4% company match
AD&D insurance
Dental insurance
Disability insurance
Health insurance
Life insurance
Vision insurance

Education

Bachelor’s degree in Data Science, Computer Science, Information Systems, Analytics, or a related field.

Experience

SAP: 2 years (Required)
Oracle ERP: 2 years (Required)
Perform analysis and create reports or dashboards: 2 years (Required)
Data analytics, business analytics, or data science: 2 years (Required)

Location & Work Arrangement

Location: Lexington, KY 40536 (Hybrid remote)
Hybrid schedule; onsite attendance required until fully trained

Contract & Compensation

Job Type: Contract
Compensation: USD 42 - 48 per hour
Contract Duration: Through December 2026, with potential extension/renewal based on business needs and performance

Application & Qualifications

Do you confirm understanding that this is a W2 role that is slated to run until December 2026, but it may be extended?
Do you currently reside within a reasonable commuting distance of Lexington, KY?

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23d ago

Senior Data Engineer

Brooksource Tampa, FL

Tampa, FL

23d ago

$70 - $75/hr Full time Senior Cloud Cloud Operations

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Job Description

Overview

As a senior member of the data engineering team, you will drive the architecture and delivery of scalable data systems that support analytics, reporting, and strategic decision making. The position emphasizes technical leadership and hands on work with SAP data integration within hybrid cloud environments.

Responsibilities

Design and implement robust data pipelines, models, and ingestion frameworks to enable advanced analytics and machine learning.
Build and maintain scalable data infrastructure on cloud platforms such as Azure, AWS, or GCP.
Incorporate SAP data sources into enterprise data platforms for comprehensive reporting and analysis.
Maintain data integrity, reliability, and performance across multiple systems and applications.
Lead efforts to reduce data redundancy and establish single sources of truth through effective data modeling and integration.
Act as the technical lead on cross functional data initiatives, guiding design choices to align with business goals.
Collaborate with developers, analysts, and business stakeholders to translate requirements into scalable data solutions.
Supervise database upgrades, migrations, and performance optimization activities.
Develop and enforce standards for data governance, security, and lifecycle management.
Mentor junior data engineers and analysts, sharing best practices and technical growth.
Evaluate emerging technologies and recommend adoption strategies to enhance data capabilities.
Create training materials and documentation to support team development and knowledge sharing.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
6-8+ years of experience in data engineering, database administration, or related roles.
Advanced proficiency in SQL and programming languages such as Python or R.
Expertise in relational and NoSQL databases (for example Oracle, SQL Server, MongoDB).
Strong experience with cloud data platforms (Azure, AWS, GCP) and tools (Snowflake, Databricks).
Experience integrating and analyzing data from SAP systems (such as SAP HANA, SAP BW, SAP ECC).
Proven ability to lead technical projects and mentor team members.

Technologies

SQL
Python
R
Oracle
SQL Server
MongoDB
Azure
AWS
GCP
Snowflake
Databricks
SAP HANA
SAP BW
SAP ECC

Benefits

Dental insurance
Health insurance
Vision insurance

Location

Tampa, Florida, onsite.

Pay

USD 70.00 - 75.00 per hour

Team Environment

The role involves collaboration with IT architects, developers, and strategic planners, as well as business stakeholders, project managers, contractors, consultants, and vendors supporting utility operations.

Core Values

Champion innovation and continuous improvement
Drive operational excellence and customer value
Uphold safety, integrity, and strategic thinking

Soft Skills

Strategic thinker with strong problem solving abilities
Excellent communication and leadership capabilities
Ability to manage multiple priorities and deliver results in a fast paced environment

Qualifications

Required: Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field
Required: 6-8+ years of experience in data engineering, database administration, or related roles
Required: Advanced proficiency in SQL and programming languages such as Python or R
Required: Expertise in relational and NoSQL databases (e.g., Oracle, SQL Server, MongoDB)
Required: Strong experience with cloud data platforms (Azure, AWS, GCP) and tools (Snowflake, Databricks)
Required: Experience integrating and analyzing data from SAP systems (e.g., SAP HANA, SAP BW, SAP ECC)
Required: Proven ability to lead technical projects and mentor team members
Preferred: Experience in the utility industry or similar regulated environments
Preferred: Familiarity with big data technologies and distributed computing frameworks
Preferred: Knowledge of data governance, compliance, and audit practices

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24d ago

Data Engineer II

Amazon.com Services LLC Bellevue, WA

Bellevue, WA

24d ago

$132k - $179k/yr Full time Amazon Quicksight Amazon Web Services Analytics

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Job Description

Data Engineer II in Bellevue, WA onsite designs and operates data pipelines, maintains the data warehouse and data lake, and builds dashboards and ML workflows to deliver shop floor insights, with a salary range of USD 132,100 to 178,800 per year.

Responsibilities

Architect and run data pipelines using AWS Glue (PySpark), Kinesis, S3, and EventBridge to ingest DynamoDB streams and enterprise data into the AMS data lake
Model and maintain the Redshift data warehouse and S3/Athena data lake that power analytics across AMS services
Build ingestion and modeling layers for enterprise sources such as SAP S/4HANA, JobBoss, Siemens Teamcenter, and Dot Compliance
Develop QuickSight dashboards for shop floor operators, planners, and AMS leadership, covering operational metrics and executive KPIs
Develop and deploy ML models and pipelines for manufacturing use cases including demand forecasting, machine health prediction, and scheduling optimization
Own data quality, lineage, and documentation across the AMS analytics stack
Collaborate with senior SDEs on architecture, service event schemas, and integration patterns while owning a portion of the data domain

Requirements

3+ years of data engineering experience
1+ years of developing and operating large-scale BI data structures for analytics using ETL/ELT processes
1+ years of developing and operating large-scale BI data structures for analytics using data modeling
1+ years of developing and operating large-scale BI data structures for analytics using SQL
Experience with data modeling, warehousing, and building ETL pipelines
Experience with AWS technologies including Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles/permissions
Experience in at least one modern programming or scripting language such as Python, Java, Scala, or NodeJS

Technologies

AWS Glue
PySpark
Kinesis
S3
EventBridge
DynamoDB
Redshift
Athena
SAP S/4HANA
JobBoss
Siemens Teamcenter
Dot Compliance
QuickSight
React
Python
Java
Scala
NodeJS
EMR
FireHose
Lambda
IAM

Benefits

Medical, Dental, and Vision Coverage
Maternity and Parental Leave Options
Paid Time Off (PTO)
401(k) Plan

A Day In The Life

Begin with a standup alongside SDEs, data engineers, and manufacturing stakeholders
Continue work on a React component that displays real time resource status for shop floor planners
After lunch, shift to backend work, designing a DynamoDB schema for part versioning
Participate in code reviews with a senior engineer on an enterprise integration bridge and understand AMS connections to external manufacturing platforms
Some weeks lean toward frontend tasks like interactive data visualizations or responsive layouts for shop floor devices
Other weeks emphasize backend work such as event sourced entity patterns or third party API integrations

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1mo ago

Enterprise Integration and Data Engineer

PN Automation, Inc. Baltimore, MD

Baltimore, MD

1mo ago Closed

Up to $140k/yr Full time Backend Developer Analytics Api Integration

This position is no longer accepting applications (closed Jul 19, 2026).

Job Description

PN Automation, Inc. is seeking an Enterprise Integration and Data Engineer to design APIs, data ingestion pipelines, and integration services that advance enterprise interoperability and mission-aware decision intelligence. The role includes prototyping dashboards and supporting demonstrations, tests, and deployments across enterprise systems and cloud services, with the work performed onsite in Baltimore. A current Top Secret clearance and U.S. citizenship are required, with a salary of USD 140,000 annually.

Responsibilities

Create and evolve RESTful APIs and integration services.
Build data ingestion, transformation, and processing pipelines.
Implement prototype integrations across enterprise systems and cloud platforms.
Assist with enterprise data modeling and data correlation activities.
Develop dashboards and visualization capabilities.
Support testing, demonstrations, and technical evaluations.
Contribute to technical documentation and prototype deployment tasks.

Requirements

Bachelor’s degree in computer science, Information Systems, Software Engineering, or a related discipline.
5+ years of experience in software engineering, enterprise integration, or data engineering.
Experience with Python, Java, Node.js, or similar development technologies.
Experience developing REST APIs and microservices.
Experience with cloud platforms such as AWS and/or Azure.
Experience building ETL pipelines and data integration solutions.

Technologies

Python
Java
Node.js
AWS
Azure
SAP
ServiceNow
Oracle
MuleSoft
Celonis
Power BI
Tableau
Grafana

Benefits

401(k)
401(k) matching
Dental insurance
Health insurance
Paid time off
Retirement plan
Vision insurance

Security and eligibility requirements

U.S. Citizens with active TS Security Clearance.

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1mo ago

Database / Data Analyst – Data Conversion & Validation (ERP Financial Systems)

TLK International Mineola, NY

Mineola, NY

1mo ago Closed

$80k - $95k/yr Full time Analyst Data Analysis Data Analytics

This position is no longer accepting applications (closed Jul 14, 2026).

Job Description

TLK International is seeking a Database / Data Analyst to work onsite in Nassau County, NY. This ERP data conversion and validation role focuses on data profiling, validation, and reconciliation to ensure migrated data remains accurate and reconcilable across legacy and target systems. The position offers a salary range of $80,000–$95,000 per year and requires solid experience in data analysis, QA, or data validation. You will collaborate with the Data Conversion Lead, Functional Leads, and UAT teams throughout discovery, validation, and post go-live phases.

Responsibilities

Data Profiling & Analysis: Examine legacy data to assess quality, completeness, and structure; identify anomalies, duplicates, and inconsistencies; conduct data discovery and profiling across modules such as GL, AP, AR, Projects, and more.
Data Validation & Conversion Testing: Validate converted data using system reports, data extracts, SQL queries, record-count validation, control totals, and data comparisons between legacy and target systems, covering pre-load, load, and post-load activities.
Financial Data Validation & Reconciliation: Support reconciliation of General Ledger balances, Sub-ledger data (AP, AR, Assets, Projects), beginning balances and roll-forwards, transaction-level data where applicable, trial balance validation, and fund-level or cross-fund reconciliation.
Conversion Data Support: Validate master data (vendors, customers, projects, grants); open transactions (AP, AR, POs, contracts); data mapping and transformation outputs; crosswalk logic and data normalization; participate in mock conversion cycles and dress rehearsals.
Data Querying & Analysis: Develop and execute SQL queries for record counts, control totals, data integrity checks, discrepancies, and root-cause analysis to support troubleshooting.
Reporting & Documentation: Produce validation reports, exception logs, data comparison summaries, and validation results suitable for audit purposes.

Requirements

4–8+ years in data analysis, QA, or data validation
Data validation and reconciliation experience
Data comparison across systems
Strong analytical skills
Ability to interpret and validate financial data
Experience with SQL for data validation, querying, and analysis
ERP systems familiarity (CGI Advantage, Oracle, SAP, PeopleSoft)
Data conversion and migration project experience
Understanding of financial processes (GL, AP, AR, budgeting)
Public sector or fund accounting background
Data profiling and ETL validation experience

Technologies

SQL
CGI Advantage
Oracle
SAP
PeopleSoft

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1mo ago

NS2 Data Analytics Engineer

SAP Herndon, VA

Herndon, VA

1mo ago Closed

$90k - $199k/yr Full time Analytics Data Analytics Data Engineer

This position is no longer accepting applications (closed Jun 30, 2026).

Job Description

Hybrid SAP NS2 Data Analytics Engineer based in Newtown Square, PA or Herndon, VA, focusing on defining data architecture, building data models, and delivering analytics, dashboards, and AI use cases to guide business decisions while ensuring governance and secure data usability.

Responsibilities

Architect, implement, and document analytics and statistical models to produce metrics, reports, dashboards, and AI use cases, leveraging SAP BDC, SAP HANA, and SAP Analytics Cloud.
Collaborate with business units and application teams to shape data strategies, build data flows, and develop conceptual, logical, and physical data models.
Define a to-be data architecture aligned to business objectives and oversee the evolution of current architecture while optimizing analytics performance with best practices.
Advise on master data architecture, data governance approaches, and data quality improvement initiatives within the NS2 framework.
Promote reuse of existing data artifacts and maintain a single source of truth through disciplined data architecture and governance.
Lead organizational change management and agile transformation to establish and mature analytics capabilities.
Resolve complex issues proactively, working independently or with teammates to meet project needs and clearly communicate risks to reduce delivery challenges.
Design, implement, and document future-state data architecture and modeling solutions, including relational, dimensional, and NoSQL approaches to support enterprise information management, BI, AI/ML, data science, and related business interests.

Requirements

Bachelor's or master's degree plus 5 to 8 years of relevant experience.
Hands-on experience with relational and dimensional data models and analytics, including RDBMS, ETL processes, and data ingestion.
Experience with data warehouses, data lakes, and enterprise big data platforms across multi-data-center environments.
Proven track record building or maintaining analytics related to financial management, sales, cloud operations, customer success, or technology operations.
Strong knowledge of programming languages, modeling tools, and related business applications (for example SAP BTP, SAP BDC, SAP HANA, DF4A, SAC, C4S, ECC, S/4HANA, ServiceNow).
Experience with large language models, SAP Joule, and AI agents is a plus but not required.
Solid grounding in master data management, metadata management, data modeling, and associated tooling.
Awareness of data security requirements for federal contractors (for instance NIST SPs).
Familiarity with ServiceNow data management features is preferred.
Ability to thrive in a fast-paced, dynamic environment and collaborate with geographically dispersed teams in a hybrid setup.
Excellent written and verbal communication skills; U.S. citizenship is required.

Technologies

SAP BDC
SAP HANA
SAP Analytics Cloud
SAP BTP
DF4A
SAC
C4S
ECC
S/4HANA
ServiceNow
NoSQL databases
LLMs
SAP Joule

Location

Location: Herndon, VA, hybrid work arrangement. Based on the summary, the role may also be based in Newtown Square, PA.

Compensation

Salary: USD 90,000 - 198,500 per year.

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1mo ago

Senior Data Engineer

Brooksource Tampa, FL

Tampa, FL

1mo ago Closed

$60 - $75/hr Full time Senior Analytics Data Analytics

This position is no longer accepting applications (closed Jun 20, 2026).

Job Description

$60 to $75, a collaborative culture focused on innovation, and the opportunity to shape enterprise data platforms for analytics, reporting, and strategic decision-making within a utility client. You will join a team of IT architects, developers, and business stakeholders to drive data-driven insights while advancing governance, security, and reliability.

Benefits

Dental insurance
Health insurance
Vision insurance

Responsibilities

Architect and implement robust data pipelines, models, and ingestion frameworks to enable advanced analytics and machine learning.
Design and maintain scalable data infrastructure on cloud platforms such as Azure, AWS, or GCP.
Integrate SAP data sources into enterprise data platforms for reporting and analytics.
Ensure data integrity, reliability, and performance across systems and applications.
Lead efforts to reduce data redundancy and establish a single source of truth through effective data modeling and integration.
Serve as a technical lead on cross-functional data projects, guiding design decisions and alignment with business goals.
Collaborate with developers, analysts, and business stakeholders to translate requirements into scalable data solutions.
Oversee database upgrades, migrations, and performance tuning activities.
Develop and enforce standards for data governance, security, and lifecycle management.
Mentor junior data engineers and analysts, providing guidance on best practices and technical development.
Evaluate emerging technologies and recommend adoption strategies to enhance data capabilities.
Create and deliver training materials and documentation to support team development and knowledge sharing.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
6-8+ years of experience in data engineering, database administration, or related roles.
Advanced proficiency in SQL and programming languages such as Python or R.
Expertise in relational and NoSQL databases (e.g., Oracle, SQL Server, MongoDB).
Strong experience with cloud data platforms (Azure, AWS, GCP) and tools (e.g., Snowflake, Databricks).
Experience integrating and analyzing data from SAP systems (e.g., SAP HANA, SAP BW, SAP ECC).
Proven ability to lead technical projects and mentor team members.

Technologies

SAP HANA
SAP BW
SAP ECC
SQL
Python
R
Oracle
SQL Server
MongoDB
Azure
AWS
GCP
Snowflake
Databricks

Soft Skills

Strategic thinker with strong problem-solving abilities
Excellent communication and leadership skills
Ability to manage multiple priorities and drive results in a fast-paced environment