Analyst-Application Developer (Hybrid)

Houston, TX, US • Posted 1 day ago • Updated 13 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • IT Operations
  • Integrity Management
  • Continuous Improvement
  • Risk Analysis
  • Reporting
  • Data Extraction
  • ELT
  • Database
  • Data Modeling
  • Modeling
  • Documentation
  • Auditing
  • Data Profiling
  • Data Cleansing
  • Data Quality
  • Collaboration
  • Process Improvement
  • SQL
  • Python
  • Data Analysis
  • Data Engineering
  • Data Integration
  • Communication
  • Analytical Skill
  • Critical Thinking
  • Conflict Resolution
  • Problem Solving
  • Management
  • Organizational Skills
  • Computer Science
  • Management Information Systems
  • Dependability
  • Extract
  • Transform
  • Load
  • Data Warehouse
  • SAFE
  • FME
  • Business Intelligence
  • PASS
  • Health Care
  • Insurance
  • SAP BASIS

Summary

Position Description

The IT Operations Support Group (OSG) Integrity team is responsible for the design, implementation, and support of various systems and applications related to the pipeline Integrity Management Program (IMP) for all pipeline business units across Kinder Morgan's operating footprint. This data-focused developer position will be responsible for the continuous improvement and support of in-house data integration pipelines and validation processes that feed systems for pipeline safety risk analysis, long-range integrity assessment planning, and a wide variety of integrated reporting.

The primary duties of this role are as follows:

  • Build and maintain reliable data pipelines for data extraction, transformation, and loading (ETL/ELT)
  • Integrate data from various sources, including databases, APIs, and external data providers
  • Combine data from different formats and structures into a unified data model
  • Design data models and schemas to support business requirements
  • Data warehousing of a wide variety of pipeline integrity and risk modeling datasets
  • Create and maintain data catalog and data lineage documentation to support data discovery and audit
  • Conduct data profiling, data cleansing, de-duplication and validation activities
  • Implement data quality monitoring and alerting systems
  • Monitor and optimize data systems and pipelines for performance issues and bottlenecks
  • Troubleshoot and resolve data-related problems promptly
  • Collaborate with cross-functional and cross-domain teams on data-related Pipeline Integrity projects
  • Participate in high-impact business process improvement initiatives across the Pipeline Integrity department
  • Identify and present Pipeline Integrity process improvement opportunities and follow through with implementation once stakeholder agreement is obtained
  • Provide support for other aspects of integrity relation programs, processes, and procedures as required

Position Requirements

Position Requirements:

  • 3-5 years' experience working with SQL, Python, or FME in data analytics, data engineering, or similar role
  • Ability to clearly explain and document processes and data integration architecture
  • Strong written and verbal communication skills with staff at various levels of technical knowledge
  • Demonstrates excellent analytical, critical thinking, and problem-solving skills
  • Demonstrates strong time management and organizational skills
  • Ability to self-motivate, set goals, prioritize and meet deadlines
  • Bachelor's degree or higher in Computer Science, Management Information Systems, Engineering or a related technical field
  • Ability and willingness to perform all essential functions of the position including those listed above
  • Ability to effectively organize, plan, prioritize, document, and complete work independently
  • Ability to successfully work in a team environment
  • Maintain a regular, dependable attendance and high level of performance

Preferred Experience, Skills, and Knowledge:

  • 5+ years' experience designing and implementing system solutions to support business needs
  • Prior experience working with pipeline integrity-related datasets
  • Familiarity with pipeline linear referencing concepts and data models such as PODS
  • Experience with ETL and data warehousing of spatial datasets
  • Experience with Safe Software's FME Desktop (Form) and FME Server (Flow)
  • Prior experience building and delivering BI solutions

Education Requirements:

Bachelor's degree in an IT-related discipline or equivalent work experience.

Kinder Morgan Offers:

Competitive Wages

Hybrid work schedule

401(k) Savings Plan

Retirement Plan

Comprehensive Medical/Rx and Dental Plans

Paid Time Off

Paid Holidays

Bonus Program

Paid Bus Pass or Parking

*Position may be filled at various levels depending on the job skills and experience of the successful candidate.

This position includes a discretionary annual incentive plan. Job level and pay commensurate with experience and skill set.

Kinder Morgan, Inc. offers employees a comprehensive benefits package. Benefits offered for this position may include the following: health care benefits including medical, prescription drug, dental , and vision coverage; Flexible and Health Spending Accounts; Life and Accidental Death and Disability insurance; Supplemental Life and Accidental Death and Disability insurance for employee and dependents; retirement benefits including a 401(k) with employer and employee contributions and a company-funded pension plan; paid time off; paid holidays; a flexible work schedule and many voluntary benefit plans.

Kinder Morgan provides equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, disability, genetic information, citizenship or status as a protected
veteran or any other legally protected status.

#LI-Hybrid

EQUAL OPPORTUNITY EMPLOYER STATEMENT: We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10451089
  • Position Id: 49a0f7bd13b7ff85517c154aba77bbdf
  • Posted 1 day ago
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