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business intelligence analyst

data analyst: ii

data engineer

big data engineer

<div><div><h2 class="jobSectionHeader">Position Description:</h2>
CGI is looking for a Data Engineer who manages one or more data engineering projects of moderate complexity. Leads or acts as key team member in defining and builds the data pipelines that will enable faster, better, data-informed decision-making within the business. Jointly designs and implements a new big data solution which supports high amounts and velocity of data and supports future growth. Identifies latest development, testing and deployment techniques to quickly deploy new releases to e.g. deploy new data pipelines and add data sources. Takes direct reports, when applicable, through Agile Framework and its respective tools. Influences stakeholders in adopting analyses / outcomes. Acts proactively to support the business to further professionalize their MI / Analytic reporting platform, using the ESSA approach. Opinions valued by business interface. Plays a prominent role in project-related meetings etc. Utilizes business partnering in order to gather, analyze and model data and key performance indicators of the highest complexity. Working as Data Engineering Lead to develop and deploy innovative big data platforms for advanced analytics and data processing. Works independently under broad managerial supervision. 
 
 
Roles and Responsibilities: 
The Principal Data Engineer is the one who conceptualizes and designs data foundations and end to end solutions including data platforms for the Business to maximize value from data. The role helps create a data-driven thinking within the organization, not just within IT teams, but also in the wider business stakeholder community. A Principal Data engineer is expected to be a subject matter expert, and an active thought partner in the organization's data strategy and the key driver to define the Vison and Data Strategy for robust and future ready IT solutions 
 
 
Key Characteristics 
Hands-on technical delivery leader 
Visible community leader for data engineers 
Conducts quality, community &amp; conference presentations/trainings 
Has vast array of technology skills with deep expertise in at least 2core technologies (Azure, AWS, SAP) 
A skilled communicator capable of speaking to both technical developers and business managers. 
Able to drive change and improvement through a deep understanding of the inter-relationship between People, Process, Data and Technology 
Coordinate the change management process, incident management and problem management process. 
Drive implementation efficiency and effectiveness across the pilots and future projects to minimize cost, increase speed of implementation and maximize value delivery. 
Drives &amp; contributes to community building initiatives like CoE, CoP. 
 
Mandatory skills: 
AWS/Azure/SAP - Master 
ELT - Master 
Data Modeling - Master 
Data Integration &amp; Ingestion - Master 
Data Manipulation and Processing - Skill 
GITHUB, Action, Azure DevOps - Skill 
Data factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest - Skill 
 
Optional skills: 
Experience in project management, running a scrum team. 
Experience working with BPC, Planning. 
Exposure to working with external technical ecosystem. 
Managing small teams. 
MKDocs documentation 
#LI-SG2 
#DICE 
Other Information: 
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit-based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $79,600.00 - $139,300.00. 
CGI's benefits are offered to eligible professionals on their first day of employment to include:
 
. Competitive compensation 
. Comprehensive insurance options 
. Matching contributions through the 401(k) plan and the share purchase plan 
. Paid time off for vacation, holidays, and sick time 
. Paid parental leave 
.Learning opportunities and tuition assistance 
. Wellness and Well-being programs
</div><div><h2 class="jobSectionHeader">Skills:</h2>
<ul><li>Data Analysis</li>
<li>Data Engineering</li>
</ul></div><div><h2 class="jobSectionHeader">What you can expect from us:</h2>
Together, as owners, lets turn meaningful insights into action. 
 
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, youll reach your full potential because 
 
You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction. 
 
Your work creates value. Youll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. 
 
Youll shape your career by joining a company built to grow and last. Youll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
 
 
Come join our teamone of the largest IT and business consulting services firms in the world. 
 
Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business. 
 
CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at US_Employment_Compliance@cgi.com. You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned. 
 
We make it easy to translate military experience and skills! to be directed to our site that is dedicated to veterans and transitioning service members. 
 
All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances. 
 
CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGIs legal duty to furnish information.</div></div>

Principal Data Engineer

Quorum Business Solutions

<div>Data Engineer I
Location: Houston, TX or Dallas, TX
Model of Work: Hybrid in Texas (On-Site/In-Office a minimum of 2 days/week) 
We are currently recruiting a class of new graduate recruits to start with Quorum July 13, 2026 
Are you excited by challenges? Do you enjoy working in a fast-paced, international and dynamic environment? Then now is the time to join Quorum Software, a rapidly growing company and industry leader in oil &amp; gas transformation.
Quorum Software is the world's largest provider of digital technology focused solely on business workflows that empower the next evolution of energy. From emerging companies to supermajors, throughout every region of the globe, customers rely on Quorum's proven innovation and unmatched global expertise to streamline business operations and make data-driven decisions that optimize profitability and growth. Our industry-leading solutions are transforming energy companies across the entire value chain, helping visionary leaders evolve their organizations into modern energy companies.
Overview
We are looking for a Data Engineer I to join our Data Platform team and help build the foundational data infrastructure that powers analytics, reporting, and AI/ML capabilities across Quorum&rsquo;s product portfolio. You will work alongside experienced data engineers and architects to design data models, build and maintain data pipelines, and ensure data quality across our platform.
This is an entry-level role ideal for recent graduates or early-career professionals who are passionate about data engineering and eager to grow. You&rsquo;ll gain hands-on experience with modern cloud data technologies while contributing to a strategic platform that serves 1,800+ energy companies worldwide. You will report to the Data Platform team manager and collaborate closely with product engineering teams, data architects, and data scientists.
Responsibilities<ul><li>
Build, test, and maintain ETL/ELT data pipelines that ingest, transform, and deliver data from multiple source systems into our centralized data platform</li><li>
Develop and maintain dimensional data models (fact and dimension tables) following established patterns and standards set by the data architecture team</li><li>
Write and optimize SQL queries and transformations for data processing workloads</li><li>
Understanding and ability to build medallion architecture within a Data Lake</li><li>
Implement and monitor data quality checks, validation rules, and alerting to ensure data accuracy and reliability</li><li>
Work within our cloud data platform (Databricks, Azure Data Services, or similar) to build scalable, production-grade data solutions</li><li>
Collaborate with product engineering teams to understand source system schemas, data flows, and business context across Quorum&rsquo;s Upstream, Measurement, and Midstream product lines</li><li>
Support the development and maintenance of data catalogs, documentation, and metadata to promote data discoverability and governance</li><li>
Participate in code reviews, pair programming, and team retrospectives to continuously improve engineering practices</li><li>
Troubleshoot data pipeline failures, investigate data anomalies, and implement fixes in a timely manner</li></ul> 
<ul><li>
Contribute to the team&rsquo;s agile development processes including sprint planning, estimation, and daily standups</li><li>
And other duties as assigned</li></ul> 
Requirements<ul><li>
Bachelor&rsquo;s degree in Computer Science, Data Science, Information Systems, Statistics, Industrial Engineering, or a related technical field</li><li>
Strong proficiency in SQL, including the ability to write complex queries, joins, aggregations, and window functions</li><li>
Programming experience in Python, with exposure to data processing libraries (e.g., Pandas, PySpark) preferred</li><li>
Foundational understanding of data modeling concepts (relational, dimensional, star schema)</li><li>
Familiarity with cloud platforms, preferably Microsoft Azure (Azure Data Factory, Azure SQL, Azure Data Lake Storage, or similar services)</li><li>
Exposure to or coursework in ETL/ELT pipeline design and data integration concepts</li><li>
Basic understanding of version control systems (Git) and collaborative development workflows</li><li>
Strong analytical and problem-solving skills with attention to detail</li><li>
Excellent communication skills (written and verbal) and ability to work effectively in a team environment</li><li>
Eagerness to learn, take feedback, and grow in a fast-paced engineering organization</li></ul> 
Preferred Skills<ul><li>
Experience with Databricks, Apache Spark, or Delta Lake (including coursework, internships, or personal projects)</li><li>
Familiarity with data orchestration tools such as Apache Airflow, Azure Data Factory, or dbt</li><li>
Exposure to big data concepts and distributed computing frameworks</li><li>
Understanding of data governance principles, data lineage, and metadata management</li><li>
Familiarity with AI/ML concepts and how data engineering supports machine learning workflows (e.g., feature engineering, training dataset preparation)</li><li>
Internship or project experience in data engineering, analytics engineering, or business intelligence</li><li>
Knowledge of the oil and gas industry or energy sector is a plus but not required</li><li>
Experience with Agile/Scrum methodologies and tools such as Azure DevOps or Jira</li><li>
Experience on, or ability to work with Microsoft Fabric &amp; OneLake</li></ul> 
Additional Details<ul><li>
Background Check: The successful candidate will need to successfully complete the following clearances: Criminal History Check, Education Verification, Employment Verification, Driver&rsquo;s License Verification and passport/ID validation.</li><li>
Visa Sponsorship: Employment eligibility to work with Quorum Software in the United States is required as the company will not pursue visa sponsorship for this position. The successful candidate will be required to ensure they maintain and renew any visas or permits that grant employment eligibility where applicable.</li></ul> 
About Quorum Software 
Quorum Software connects people and information across the energy value chain. Twenty years ago, we built the first software for gas plant accountants. Pipeline operators came next, followed by land administrators, pumpers, and planners. Since 1998, Quorum has helped thousands of energy workers with business workflows that optimize profitability and growth. Our vision for the future connects the global energy ecosystem through cloud-first software, data standards, and integration. The trusted source of decision-ready data for 1,800+ companies, Quorum Software makes the essential connections that let us work better together in the connected energy workplace. For more information, visit quorumsoftware.com.
Quorum Diversity Statement: At Quorum, we are committed to fostering, cultivating, and preserving a culture of belonging. We want to be the place where a diverse pool of talented people join us, stay with us and do their best work. With a diverse team of employees, we grow and learn better together. The collective sum of the individual differences, life experiences, knowledge, innovation, self-expression, and talent that our employees invest in their work represents not only part of our culture, but our reputation and our achievements. We are fully focused on equity and equality and believe deeply in diversity of race, gender, sexual orientation, age, religion, ethnicity, national origin, ability, neurodiversity and all the other characteristics that make us unique. 
Quorum Business Solutions and Quorum Software are Equal Opportunity Employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, ancestry, veteran status, disability, genetic information, or any other basis protected by law.
Those applicants requiring reasonable accommodation to the application and/or interview process should notify a member of the Human Resources Department
Our company uses E-Verify to confirm the employment and eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.dhs.gov/E-Verify.</div>

Data Engineer I (Base Camp)

Memorial Hermann Health System

<div></div><div><div><div>JOB DESCRIPTION
</div><div>At Memorial Hermann, we pursue a common goal of delivering high quality, efficient care while creating exceptional experiences for every member of our community. When we say every member of our community, that includes our employees. We know that when our employees feel cared for, heard and valued, they are inspired to create moments that exceed expectations, while prioritizing safety, compassion, personalization and efficiency. If you want to advance your career and contribute to our vision of creating healthier communities, now and for generations to come, we want you to be a part of our team.
Job Summary
Utilizing deep technical expertise the Data Engineer is responsible for designing and building the processes and infrastructure of data necessary for analytical and operational use cases. This role works with customers across the organization to identify opportunities for potential data sources, defines requirements for data onboarding to the Data Warehouse environments, and facilitates the internal processes to onboard and integrate data as well as prepare and optimize it for analytical use. This position works with customers at all levels across the organization to ensure analytical insights. Works across the organization to prepare data and support the design of analytical insights through reports, dashboard visualizations, data extracts, and data science models. Facilitates the discovery of new opportunities, supports data-informed decision-making for identified challenges and develops new and enhanced metrics to analyze ongoing performance metrics.
 
 
The Data Engineer reports to the Manager, Analytics Infrastructure on the Memorial Hermann Digital Analytics Team and leads creation of data flows to extract, transform and load the data and works closely with other members of the Digital Team and Analytics Community to ensure adherence to data quality and data governance standards.<h2 class="jobSectionHeader">
Job Description</h2>
MINIMUM QUALIFICATIONS
Education: Bachelor&rsquo;s Degree in Computer Science, Electrical Engineering, Mathematics, Computer Applications, Information Systems or Engineering, or four (4) years of equivalent experience is required.
Licenses/Certifications: SNOWPRO preferred
Experience / Knowledge / Skills:<ul><li>
Five (5) years of experience in data warehousing required</li><li>
Minimum of one (1) year experience in Snowflake preferred or experience in other data warehousing such as Redshift or BigQuery</li><li>
Expert SQL Experience required, SnowSQL preferred</li><li>
Demonstrated experience with all phases of the design and development life cycle of analytics applications and reporting tools</li><li>
Must have advanced programming language skills (i.e., Python, R, SQL)</li><li>
Must have advanced knowledge of extract, transform, and load (ETL) tools</li><li>
Experience with deploying models using Snowflake functions preferred</li><li>
Must be knowledgeable of best practices for designing highly-tuned datasets to meet business requirements and optimize end-user performance</li><li>
Experiencing working in cloud infrastructure, AWS preferred</li><li>
Experience with Tableau, Tableau Prep, and Tableau Server, preferred</li><li>
Experience utilizing HealtheIntent, preferred</li></ul>
PRINCIPAL ACCOUNTABILITIES<ul><li>
Responsible for analysis, design and development of analytics data pipelines.</li><li>
Completion and maintenance of source to target mapping across core systems.</li><li>
Responsible for working with customers to identify data on-boarding needs and implement end-to-end solutions.</li><li>
Build data flow for data warehousing projects.</li><li>
Proactively curate data sources to meet the needs of customers.</li><li>
Actively ensure data sources are tuned to handle data in the most efficient manner possible to maximize performance.</li><li>
Maintain and monitor data warehouse and ensure data uptime.</li><li>
Work with Analytics Team, specifically Data Architect, to identify, notify and manage downtimes with minimal disruptions.</li><li>
Educate broader employee base on data architecture methods to gain efficiencies and data insights.</li><li>
Serve as in-house resource for various types of data ETL methodologies and guide customers to the best option for quick turnaround of BI tasks.</li><li>
Assist in development of task plans including schedule and effort estimation.</li><li>
Participate in governance activities.</li><li>
Lead solution development across multiple analytic projects.</li><li>
Demonstrates commitment to caring for every member of our community by creating compassionate and personalized experiences. Models Memorial Hermann&rsquo;s service standards by providing safe, caring, personalized and efficient experiences to patients and colleagues.</li></ul></div></div></div>

Data Engineer

Bluelight Consulting

<div><div><div>Bluelight Consulting is a leading software consultancy dedicated to designing and developing innovative technology that enhances users' lives. With a steadfast commitment to delivering exceptional service to our clients, Bluelight excels in its focus on quality and customer satisfaction. Our mission is not only to create cutting-edge applications but also to foster a collaborative and enriching work environment where each team member can grow and thrive. With a presence across the United States and Central/South America, Bluelight is in an exciting phase of expansion, continually seeking exceptional talent to join its dynamic and diverse community.</div><div></div><div> 
We are looking for a skilled individual to join our rapidly growing team at Bluelight Consulting. This position is ideal for someone who thrives in a fast-paced, dynamic environment where everyone's opinions and efforts are valued and appreciated. You will have the opportunity to contribute to challenging and meaningful projects, developing high-quality applications that stand out in the market. We value continuous learning, personal growth, and hard work, offering a collaborative environment that promotes professional development. If you are passionate about software development and eager to be part of a growing software consultancy, we invite you to apply and join us on this exciting journey.</div></div>
<div><div><h3 class="jobSectionHeader">What we are looking for</h3><ul><li><ul><li>
Experience with AWS services including but not limited to S3, Athena, EC2, EMR, and Glue.</li><li>
Ability to solve any ongoing issues with operating the cluster.</li><li>
Experience with the integration of data from multiple data sources.</li><li>
Experience with various database technologies such as SQLServer, Redshift, Postgres, and RDS.</li><li>
Experience with one or more of the following data integration platforms: Pentaho Kettle, SnapLogic, Talend OpenStudio, Jitterbit, Informatica PowerCenter, or similar.</li><li>
Knowledge of best practices and IT operations in an always-up, always-available service.</li><li>
Experience with or knowledge of Agile Software Development methodologies.</li><li>
Excellent problem-solving and troubleshooting skills.</li><li>
Excellent oral and written communication skills with a keen sense of customer service.</li><li>
Experience with collecting/managing/reporting on large data stores.</li><li>
Awareness of Data governance and data quality principles.</li><li>
Well versed in Business Analytics including basic metric building and troubleshooting.</li><li>
Understand Integration architecture: application integration and data flow diagrams, source-to-target mappings, data dictionary reports.</li><li>
Familiar with Web Services: XML, REST, SOAP.</li><li>
Experience with Git or similar version control software.</li><li>
Experience with integrations with and/or use of BI tools such as GoodData (Prefered), Tableau, PowerBI, or similar.</li><li>
Broad experience with multiple RDBMS: MS SQLServer, Oracle, MySQL, PostgreSQL, Redshift.</li><li>
Familiarity with SaaS/cloud data systems (e.g. Salesforce).</li><li>
Data warehouse design: star-schemas, change data capture, denormalization.</li><li>
SQL/DDL queries/Tuning techniques such as indexing, sorting, and distribution.</li><li>
BS or MS degree in Computer Science or a related technical field.</li><li>
3+ years of Data Pipeline development such as SnapLogic or Datastage, Informatica, or related experience.</li><li>
3+ years of SQL experience (No-SQL experience is a plus).</li><li>
Experience designing, building, and maintaining data pipelines.</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader">Company Benefits</h3><ul><li><ul><li>
Competitive salary and bonuses, including performance-based salary increases.</li><li>
Generous paid-time-off policy</li><li>
Technology / Office stipend</li><li>
Health Coverage</li><li>
Flexible working hours</li><li>
Work remotely</li><li>
Continuing education, training, conferences</li><li>
Company-sponsored coursework, exams, and certifications</li></ul></li></ul></div></div>
<div><div>Being a consultant in our team is a fun, challenging, and rewarding career choice. Your contributions are highly valued by clients, and the work you do often has a direct and significant impact on their business.</div><div>
You will have the opportunity to work on a variety of projects for our incredible clients, which will accelerate your career growth. You&rsquo;ll collaborate with modern technologies and work alongside some of the best professionals in the industry!</div><div>
If you&rsquo;re eager to be part of an exciting, challenging, and rapidly growing consultancy, we encourage you to apply. #LI-Remote</div></div></div>

Data Engineer - Remote, USA

Ocean Blue Solutions Inc

<div>
 Data Scientist &ndash; AI/ML Focus
 
 
 12+ Months &ndash; Houston, TX (Hybrid x4)
 
 
 
 Job Description
 
 
 
 We are seeking a Data Scientist with a strong foundation in AI/ML to join our team. The ideal candidate has experience blending various datasets, building statistical/machine learning models, and deploying AI-driven solutions. Time Series Model Development expertise is required.
 
 
 This role involves working with LLMs, natural language processing (NLP), and deep learning techniques to develop AI-powered applications. You will play a pivotal role in designing, training, and deploying scalable AI/ML models, while also translating complex data insights into actionable business strategies.
 
 
 
 Key Responsibilities
 
 
 
 AI/ML Model Development: Design, train, and fine-tune machine learning and deep learning models, including LLMs, for predictive analytics, automation, and AI-driven decision-making.
 
 
 
 Technical Skills:
 
 AI &amp; Machine Learning: Experience in predictive modeling, NLP, deep learning, and LLM-based applications (e.g., GPT, BERT, LangChain).
 
 
 
 Programming:
 
 Proficiency in Python and experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face).
 
 
 
 Data Engineering &amp; SQL:
 
 Ability to write efficient SQL queries to blend and structure data from multiple sources for modeling and analysis.
 
 
 
 Cloud &amp; MLOps:
 
 Experience with AWS (SageMaker, S3, Redshift), Snowflake, and ML pipeline automation.
</div>

Data Scientist - Houston,TX

PARKHILL

<div>Overview:
<div>
The Senior Data &amp; AI Engineer will design, build, and maintain the infrastructure and systems that power data and AI use cases at Parkhill. This role focuses on data pipelines, production AI systems, and scalable platforms that enable data analyst/scientists and business teams to work efficiently with reliable, high-quality data.
</div>Responsibilities:
<ul><li>Collaborate with the Data and AI governance group, Data and AI board, and Digital Practice group to set the direction for the Lakehouse infrastructure</li><li>
Design, implement, and maintain end-to-end data pipelines from AEC specific source systems (ex. Civil3D, Revit, Procore, etc.) into a use-case-ready environment</li><li>
Collaborate with business SMEs, data analysts/scientists, and the Digital Practice group to provide reliable and clean data</li><li>
Build and deploy machine learning and AI models into production environments, ensuring scalability and reliability</li><li>
Manage cloud platforms and data storage systems
</li><li>Develop APIs and platforms to enable integration of AI solutions into business use cases</li><li>
Optimize data systems for speed, efficiency, and reliability</li><li>
Mentor junior engineers and provide technical leadership for data infrastructure initiatives</li></ul>
Qualifications:
<ul><li>7+ years in data engineering, AI engineering, or software engineering roles, preferably in the AEC industry</li><li>
Experience with cloud platforms (Azure, AWS) and big data tools
</li><li>Strong proficiency in Python, SQL, and data engineering frameworks</li><li>
Experience deploying ML/AI models into production (Docker, Kubernetes)</li><li>
Familiarity with AI/ML frameworks for production use</li><li>
Experience with data visualization/BI tools (Power BI, Tableau) a plus</li><li>
Understanding of data security, governance, and compliance standards</li></ul></div>

Senior Data & AI Engineer

Green Gas USA

<div>At GreenGas, we&rsquo;re helping lead the global energy transition by transforming waste into renewable energy and measurable decarbonization. We&rsquo;re a fast-growing team of expert innovators, engineers, and problem-solvers committed to advancing global sustainability, fueling a circular economy, and creating a cleaner future for all. Join us and help shape the future of renewable energy. 
Data Engineer - Intern 
Location: Houston, TX / Hybrid 
Reports To: Chief Information Officer 
FLSA Status: Non-Exempt 
Position Summary
The Data Engineer Intern plays a supporting role in advancing the organization&rsquo;s data-driven initiatives. In this role, the intern assists in building and maintaining elements of the data infrastructure that enable data to be collected, stored, processed, and made accessible for analysis, reporting, and machine learning. Working under the guidance of experienced engineers, the IT Data Engineer Intern gains hands-on experience with data pipelines, data platforms, and data integration processes while contributing to projects that improve the availability, quality, and usability of organizational data. 
Key Responsibilities<ul><li>
Design and Implement ETL/ELT Processes: Build robust Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) pipelines to move data from various sources (databases, APIs, streaming sources, external data providers) into data warehouses, data lakes, or other data repositories.</li><li>
Develop and Maintain Scalable Data Pipelines: Create efficient and scalable data pipelines to handle large volumes of structured and unstructured data.</li><li>
Automate Data Workflows: Data engineers will write code and scripts to automate repetitive tasks in data collection, processing, and delivery. Ie Databases to PBIs.</li><li>
Monitor and Troubleshoot Pipelines: Continuously monitor pipeline performance, identify and resolve data-related issues, errors, and performance bottlenecks.</li></ul>
Data Architecture and Storage<ul><li>
Design and Maintain Data Architecture: Selecting appropriate technologies for data storage such as relational databases, NoSQL databases, data lakes, data warehouses, cloud storage services) and designing efficient data models, schemas.</li><li>
Optimize Data Storage and Retrieval: Work to ensure data is stored in a way that allows for high-performance queries and efficient analytical and operational use cases.</li><li>
Evaluate and Implement Data Solutions: Research and implement new data technologies, tools, and frameworks to improve data infrastructure and processes.</li><li>
Cloud Platform Management: Proficiency in Azure to deploy and manage data solutions in the cloud, including automation, databases and PowerBI&rsquo;s.</li></ul>
Data Quality, Governance, and Security<ul><li>
Ensure Data Quality and Integrity: Implement validation rules, cleansing procedures, and monitoring systems to detect and rectify anomalies, ensuring data accuracy.</li><li>
Implement Data Governance Frameworks: Define standards and policies for data usage, ensuring consistency, reliability, and compliance (e.g., GDPR, HIPAA).</li><li>
Manage Data Security and Access: Implement security controls and access management policies to protect sensitive information from unauthorized access or theft.</li></ul>
Collaboration and Support<ul><li>
Provide Data Access Tools: Set up dashboards, analytics tools, and API endpoints to make processed data accessible to end-users and applications.</li><li>
Document Technical Designs and Workflows: Create comprehensive documentation for data pipelines, architecture, and processes to facilitate system transparency.</li><li>
Support Data-Driven Decision Making: By providing clean, reliable, and accessible data, data engineers enable organizations to make informed business decisions.</li></ul> 
Skills<ul><li>
Programming Languages: Python, Java, SQL and related technologies</li><li>
Database Systems: Strong knowledge of relational databases (e.g., PostgreSQL, MySQL, SQL Server) and NoSQL databases (e.g., MongoDB, Cassandra).</li><li>
Data Warehousing: Experience with data warehousing and platforms (e.g., Snowflake).</li><li>
ETL Tools: Proficiency with various ETL tools such as snowflake and Databricks</li><li>
Cloud Platforms: Experience with Azure Suite, Jira DevOps and Ticketing system.</li><li>
Big Data Technologies: (Hadoop, Spark, Kafka, Hive).</li><li>
Data Modeling and Schema Design: Ability to design efficient data models.</li><li>
Scripting and Automation: For automating data processes.</li></ul></div>

Data Engineer - Intern

Explore 257+ Big data engineer in Houston this March. Find roles across top companies and apply now to boost your career.