<h3>Job Description</h3><div>Job Description<div>OUR MISSION IS TO ENSURE THE SAFETY OF LAW ENFORCEMENT OFFICERS AND COMMUNITIES. At KOLOGIK, we are passionate about enhancing public safety by creating new data-sharing technologies that turn ideas into solutions. KOLOGIK technology creates scalable public safety systems that securelyshare private information with unfiltered access to multi-layered data. We are looking for a Data Migration Specialist to join our development team, reporting to the Onboarding Manager. You will work on multiple complex software development projects in this role to ensure timely, predictable, and quality delivery. You’ll use your strong interpersonal skills to communicate status, resolve issues, and ensure satisfaction with customers, project stakeholders, and internal departments. YOUR DAY-TO-DAY • Write well-designed, testable code • Migrate existing customer databases into Kologik databases • Monitor the incoming tasks via Microsoft DevOps and Teams • Attend regular scrum meetings to communicate progress with stakeholders and other teams members • Alert the manager and project manager when you are blocked on tasks • Communicate with other team members on changes that may impact them • Troubleshoot, debug, maintain, and improve existing software • Analyze and solve business problems through software creation SKILLS AND COMPETENCIES • Programming in C# required • Understanding of database design, table joins, and SQL scripts required • Experience with Oracle database a plus • Programming in VueJS or equivalent a plus • Experienced in the delivery of projects in an agile environment • Demonstrated technical ability to understand systems end-to-end • Enthusiastic, driven, self-motivated with a focus on customer service • Takes initiative for self-development and exhibits an eagerness to learn and share new processes • Must have the ability to analyze and troubleshoot complex problems with great efficiency • Able to work independently, excellent personal organization, and able to demonstrate consistently balanced good judgment and logical thought prioritization • A real interest in problem-solving and focused on results • Must be tenacious about completing tasks and assignmentsBASIC QUALIFICATIONS • Bachelor’s Degree in computer science or equivalent applicable experience • 1 – 2+ years of experience working as a DBA, Data Architect, Data Engineer, Data Strategist, or related role supporting data migrations • 1 – 2+ years of experience working with various data stores (CSV, XML, JSON, etc.) • Strong SQL skills, including the ability to write queries and stored procedures Copyr ight 2022 KOLOGIK® 9 /19/22 Page 2 • Power User knowledge in Microsoft Excel • Experience developing customer reports (SSRS, PowerBI, etc.) • Must be able to pass a criminal background check • Must have a home working environment conducive to effective internal meetings, including reliable internet and a dedicated, quiet home office PREFERRED QUALIFICATIONS • 2+ years of experience working with Microsoft SQL databases • 1+ years of experience working with Oracle databases • Experience working with APIs and ETL tools to extract, transform, and load data to and from disparate data sources • Implementation experience in cloud computing platforms such as AWS or Azure is highly desirable • Able to work in a fast-paced, self-directed entrepreneurial environment. • Exceptional verbal and written skills • Highly energetic self-starter • Decision-making, problem-resolution, and creative thinking skills • Able to multi-task among shifting priorities • Located in or near Covington/Mandeville, Louisiana, a plus WHY KOLOGIK In pursuit of our vision to become the nation’s leading provider of secure data retrieved, managed, controlled and stored across multiple servers, KOLOGIK always wants to hear from top professionals interested in joining our team. We thrive in a culture of teamwork and success. Our employees are our greatest assets; therefore, we strive to create a work environment where you can feel valued and productive. We offer: • Competitive salary and uncapped commission • Medical, dental, and vision coverage • 401k with generous employer match • Paid time off We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.</div></div>

Who We Are

Charter Schools USA (CSUSA) is one of the largest and highest performing education management companies in the United States, proudly serving over 82,000 students in over 150 schools in four states. Founded by Jonathan Hage in 1997, CSUSA's mission is a Relentless Commitment to Student Greatness in School and in Life™. CSUSA provides an academically rigorous education to students equipping them with real world readiness, prepared for college or career after graduation. With an unwavering dedication to the success of students from every background, CSUSA is closing the gaps in achievement and opportunity, keeping our promise of Strong Minds, Good Hearts™.

Job Purpose

To join a team of people with the mission: Relentless Commitment to Student Greatness in School and in Life ™. If you love inspiring and motivating young learners and want to put students first in education, CSUSA is the right place for you. We deliver on our promise of Strong Minds, Good Hearts™ through an education model that gives every student the opportunity for success. As a Junior Data Engineer, you will be responsible for flow of information between systems, the quality of that data, and exposing that data to deliver information and insight. The Junior Data Engineer oversees the data warehouse and related systems and ensures connectivity to keep systems operating at full capacity, develops solutions to deliver relevant data to systems and customers in a timely and secure manner.

How You Will Impact Education

Instruction/Education Responsibilities
Facilitate the flow of information for students and staff between enrollment systems, student information systems, education applications, and other systems as needed
Lead architect and design of data warehouse and availability environment
Configure and administer environment
Develop and optimize integration process flow and structures
Securely expose relevant data for efficient data analysis, reporting, and dashboards
Ensure connectivity between critical business systems
Create ad hoc queries and reports
Perform general data migration and ETL/ELT functions as needed
Act as liaison between vendors and customers
Participate in business system planning, evaluations, and recommendations to improve service
Oversee change and release management processes
Develop and establish necessary access controls and disaster prevention/recovery methods
Oversee staff and third parties to accomplish goals and tasks as necessary
Inform stakeholders of potential issues, solutions, and potential improvements
Maintain documentation of procedures, processes, configurations, and contacts
Follow defined access controls and disaster prevention/recovery methods
Provide insight into data integrity and cleanliness
Facilitate continuous improvement cycle through solution improvements, including product updates, plug-ins, configuration changes, and migration to other platforms as appropriate
Required Qualifications and Skills     Demonstrates excellent oral, written, and interpersonal skill
Ability to work independently with general guidance on outcomes and objectives
Demonstrates ability to lead people and get results through others
Thinks ahead and plans over a 12-year time span
Ability to organize and manage multiple priorities
Active and attentive listener
Ability to communicate in a timely and professional manner
Effective documentation and reporting skills
Ability to communicate ideas in both technical and user-friendly language
Strong customer service orientation
Job Requirements     Bachelor's Degree from an accredited institution or equivalent combination of education and experience
1-2 years of experience with SQL language and relational databases
Experience with unstructured and non-relational databases a plus
1-2 years of DBA experience, including data architecture, design, and optimization
Experience in database/application connectivity
Strong knowledge of common statistics required
May require travel both inside and outside of state
May require need for occasional weekend or evening travel
May perform other duties assigned.
Work Environment

While performing the responsibilities of this position, the work environment characteristics listed below are representative of the environment the employee will encounter:    Usual office working conditions.
Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.    No physical exertion required.
Travel within or outside of state.
Light work: Exerting up to 20 pounds of force occasionally, and/or up to 10 pounds of force as frequently as needed to move objects.

FLSA Overtime Category

Job is exempt from the overtime provisions of the Fair Labor Standards Act.

Cleo is a cloud integration technology company focused on business outcomes. Every day, we ensure that each one of our 4,000+ customers' potential is realized by delivering solutions that make it easy to discover and create value through the connections and integration of enterprise applications supporting critical workflows. By providing the industry’s most complete and flexible integration offerings, we are helping our clients build trusted relationships across their partner ecosystems today, while providing all the control and visibility they need to advance their business tomorrow. In a nutshell, Cleo is a rapidly growing category leader in ecosystem integration software and we have experienced tremendous growth over recent years.The Senior Data Engineer is a hands-on leader responsible for designing, developing, and maintaining data pipelines and infrastructure at Cleo. This role involves setting the strategy for data systems, collaborating closely with cross-functional teams, and ensuring the scalability, reliability, and efficiency of data solutions. The Senior Data Engineer will focus on data infrastructure needs for AI/ML models , overseeing the creation of a data warehouse and associated systems from scratch, and ensuring data is properly transformed and optimized for machine learning and artificial intelligence applications. This role is integral to building the processes that support data transformation , data structures , metadata management , data quality controls , and workload management .What You Will Be DoingLead the Design and Build of Data Pipelines : Develop and maintain scalable, reliable, and efficient data pipelines that collect, process, and store large datasets. Ensure these systems are optimized for AI/ML model training and inference.Set Data Infrastructure Strategy : Define and execute the strategy for building and maintaining data warehouses , data lakes , and other data storage systems that support both operational and analytical needs. Ensure systems are optimized for AI/ML model workflows.Hands-On Data Transformation for AI/ML Models : Design and implement data transformation processes, including feature engineering , data preprocessing , and data augmentation , to ensure data is in the right format for machine learning models.Build Data Structures and Metadata Management : Build and manage the data structures, metadata repositories, and related systems that support data transformation, ensuring the organization has well-documented, accurate, and accessible data for AI/ML workflows.Data Quality Controls and Risk Management : Establish and implement data quality controls to ensure that data used in machine learning models is clean, consistent, and accurate. Identify and raise risks at all stages of the data engineering process, including data ingestion, transformation, and storage.Collaborate with Cross-Functional Teams : Work closely with data scientists , ML engineers , product managers , and business leaders to understand data requirements and ensure data systems meet the needs of AI/ML initiatives. Provide hands-on leadership to guide teams in transforming data for model training.ETL Development and Optimization for AI/ML : Lead the development and optimization of ETL (Extract, Transform, Load) processes for ML/AI data. Focus on efficiently moving and transforming large datasets, ensuring data quality and readiness for model training and deployment.Optimize Data for Model Training and Inference : Ensure data pipelines are designed to support the needs of AI/ML model training, such as handling large volumes of data, managing data quality, and enabling fast model iteration.Data Governance for AI/ML : Define and implement data governance practices to ensure the secure, compliant, and ethical use of data in AI/ML workflows.Stay Current : Keep up with emerging trends in data engineering, particularly those related to AI/ML model development, and implement best practices to optimize data systems for machine learning.Your QualificationsExperience : 5-7+ years of experience in data engineering, with a focus on transforming data for AI/ML models and optimizing data systems to support machine learning and artificial intelligence workflows.Hands-On Expertise : Proven experience in hands-on data transformation and building data pipelines for AI/ML, including data preprocessing, feature engineering, and model-specific data handling.Leadership : Experience leading or mentoring data engineering teams, providing hands-on guidance for AI/ML-related projects and collaborating with cross-functional teams.Cloud and Big Data : Strong experience with cloud platforms and big data technologies , particularly in the context of AI/ML model development .A few things we have to offer:Competitive compensationGreat Healthcare + Dental + VisionFlexible PTOCulture of support, encouraging Life-Work balanceFSA and HSA optionsEmployee Assistance ProgramRepresenting a company with 4,000+ clients and a 99% retention rateAccelerated title and salary growth potentialA fun and energetic work environment that makes you excited to go to work every dayCleo Communications, LLC is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status or any other characteristic protected by law.
#J-18808-Ljbffr

Who We Are Charter Schools USA (CSUSA) is one of the largest and highest performing education management companies in the United States, proudly serving over 82,000 students in over 150 schools in four states. Founded by Jonathan Hage in 1997, CSUSA's mission is a Relentless Commitment to Student Greatness in School and in Life™. CSUSA provides an academically rigorous education to students equipping them with real world readiness, prepared for college or career after graduation. With an unwavering dedication to the success of students from every background, CSUSA is closing the gaps in achievement and opportunity, keeping our promise of Strong Minds, Good Hearts™. Job Purpose To join a team of people with the mission: Relentless Commitment to Student Greatness in School and in Life ™. If you love inspiring and motivating young learners and want to put students first in education, CSUSA is the right place for you. We deliver on our promise of Strong Minds, Good Hearts™ through an education model that gives every student the opportunity for success. As a Junior Data Engineer, you will be responsible for flow of information between systems, the quality of that data, and exposing that data to deliver information and insight. The Junior Data Engineer oversees the data warehouse and related systems and ensures connectivity to keep systems operating at full capacity, develops solutions to deliver relevant data to systems and customers in a timely and secure manner. How You Will Impact Education Instruction/Education Responsibilities <ul><li> Facilitate the flow of information for students and staff between enrollment systems, student information systems, education applications, and other systems as needed</li><li> Lead architect and design of data warehouse and availability environment</li><li> Configure and administer environment</li><li> Develop and optimize integration process flow and structures</li><li> Securely expose relevant data for efficient data analysis, reporting, and dashboards</li><li> Ensure connectivity between critical business systems</li><li> Create ad hoc queries and reports</li><li> Perform general data migration and ETL/ELT functions as needed</li><li> Act as liaison between vendors and customers</li><li> Participate in business system planning, evaluations, and recommendations to improve service</li><li> Oversee change and release management processes</li><li> Develop and establish necessary access controls and disaster prevention/recovery methods</li><li> Oversee staff and third parties to accomplish goals and tasks as necessary</li><li> Inform stakeholders of potential issues, solutions, and potential improvements</li><li> Maintain documentation of procedures, processes, configurations, and contacts</li><li> Follow defined access controls and disaster prevention/recovery methods</li><li> Provide insight into data integrity and cleanliness</li><li> Facilitate continuous improvement cycle through solution improvements, including product updates, plug-ins, configuration changes, and migration to other platforms as appropriate</li></ul> Required Qualifications and Skills <ul><li> Demonstrates excellent oral, written, and interpersonal skill</li><li> Ability to work independently with general guidance on outcomes and objectives</li><li> Demonstrates ability to lead people and get results through others</li><li> Thinks ahead and plans over a 12-year time span</li><li> Ability to organize and manage multiple priorities</li><li> Active and attentive listener</li><li> Ability to communicate in a timely and professional manner</li><li> Effective documentation and reporting skills</li><li> Ability to communicate ideas in both technical and user-friendly language</li><li> Strong customer service orientation</li></ul> Job Requirements <ul><li> Bachelor's Degree from an accredited institution or equivalent combination of education and experience</li><li> 1-2 years of experience with SQL language and relational databases</li><li> Experience with unstructured and non-relational databases a plus</li><li> 1-2 years of DBA experience, including data architecture, design, and optimization</li><li> Experience in database/application connectivity</li><li> Strong knowledge of common statistics required</li><li> May require travel both inside and outside of state</li><li> May require need for occasional weekend or evening travel</li><li> May perform other duties assigned. </li></ul> Work Environment While performing the responsibilities of this position, the work environment characteristics listed below are representative of the environment the employee will encounter: <ul><li> Usual office working conditions.</li></ul> Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. <ul><li> No physical exertion required.</li><li> Travel within or outside of state.</li><li> Light work: Exerting up to 20 pounds of force occasionally, and/or up to 10 pounds of force as frequently as needed to move objects. </li></ul> FLSA Overtime Category Job is exempt from the overtime provisions of the Fair Labor Standards Act.

Overview

GovCIO is currently hiring for a Sr. Cloud Azure Data Engineer. This position is a fully remote position within the United States.

Responsibilities

The ideal candidate will have a proven track record in leading and delivering Azure Data Analytics solutions with Enterprise level organizations. We are seeking someone who can enable advance analytic capabilities preparing a data lake by ingesting raw data from authoritative sources using defined patterns and curating the same to publish data products, using cloud native tools. You will be highly proficient working with business stakeholders and directing project teams and will have direct experience of a range of BI Tools and Platforms.

A proven track record designing and developing enterprise level data platforms. You will manage your own as well as others’ performance to deliver high quality, highly performant solutions to our customer.

You will be responsible for the design of solutions which will include:

Solution design using Microsoft Azure services and related tools

Design of enterprise data models and Data solutions

Specification of ELT (Extract, load and transform) pipelines, data integration and data migration design, with low code no code tools

Design & implementation of Master data management solutions

Specification of Data Quality Management methodology and supporting technology tools

Working within a project management/agile delivery methodology in a leading role as part of a wider team

Deal with other stakeholders/end users in the software development lifecycle – PMs, BAs, testing etc

Qualifications

Bachelor's degree in computer science, or other engineering or technical discipline is required plus 8 years of experience,4 years of additional relevant experience may be substituted for education

At least 2 years of Azure experience required

Direct experience of solution shaping and architecture development during planning & delivery including excellent documentation skills

Strong evidence of Data modeling, mapping data flows and data design

ELT experience

Hands-on experience solutioning and implementing analytical capabilities using the Azure Data Analytics platform including, Azure Data Factory, Azure Logic Apps, Azure Functions, Azure Storage, Azure SQL Data Warehouse/Synapse, Azure Data Lake

Experience in the design of reporting & data visualization solutions such as Power BI or Tableau

Experience with Master Data Management & Data Quality tools

Experience designing and implementing machine learning solutions as part of high-volume data ingestion and transformation pipelines

Microsoft Azure Data Platform certification ideal (DP-200, DP201)

Preferred Skills and Experience

Python

Azure DataBricks

Clea   rance Required  : Ability to obtain and maintain a Suitability/Public Trust

Company Overview

GovCIO is a team of transformers--people who are passionate about transforming government IT. Every day, we make a positive impact by delivering innovative IT services and solutions that improve how government agencies operate and serve our citizens.

But we can't do it alone. We need great people to help us do great things - for our customers, our culture, and our ability to attract other great people. We are changing the face of government IT and building a workforce that fuels this mission. Are you ready to be a transformer?

We are an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, or status as a protected veteran. EOE, including disability/vets.

Posted Pay Range

The posted pay range, if referenced, reflects the range expected for this position at the commencement of employment, however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, education, experience, and internal equity. The total compensation package for this position may also include other compensation elements, to be discussed during the hiring process. If hired, employee will be in an “at-will position” and the GovCIO reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, GovCIO or individual department/team performance, and market factors.

Posted Salary Range

USD $120,000.00 - USD $140,000.00 /Yr.

Submit a referral to this job (https://careers-govcio.icims.com/jobs/5174/senior-data-engineer-%28remote%29/job?mode=apply&apply=yes&in_iframe=1&hashed=-1834385473)

Location   US-Remote

ID   2024-5174

Category   Information Technology

Position Type   Full-Time

Summary:

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.

Required Skills:

Data Engineer, Product Analytics Responsibilities:

Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems

Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve

Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way

Define and manage Service Level Agreements for all data sets in allocated areas of ownership

Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership

Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains

Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources

Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts

Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts

Influence product and cross-functional teams to identify data opportunities to drive impact

Mentor team members by giving/receiving actionable feedback

Minimum Qualifications:

Minimum Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent

7+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions

7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.)

Preferred Qualifications:

Preferred Qualifications:

Master's or Ph.D degree in a STEM field

Public Compensation:

$173,000/year to $242,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

HTC Global Services wants you. Come build new things with us and advance your career. At HTC Global you'll collaborate with experts. You'll join successful teams contributing to our clients' success. You'll work side by side with our clients and have long-term opportunities to advance your career with the latest emerging technologies.

At HTC Global Services our consultants have access to a comprehensive benefits package. Benefits can include Paid-Time-Off, Paid Holidays, 401K matching, Life and Accidental Death Insurance, Short & Long Term Disability Insurance, and a variety of other perks.

The scope of the proposed services will include the following:

Create and manage the systems and pipelines that enable efficient and reliable flow of data, including ingestion, processing, and storage.
Collect data from various sources, transforming and cleaning it to ensure accuracy and consistency. Load data into storage systems or data warehouses.
Optimize data pipelines, infrastructure, and workflows for performance and scalability.
Monitor data pipelines and systems for performance issues, errors, and anomalies, and implement solutions to address them.
Implement security measures to protect sensitive information.
Collaborate with data scientists, analysts, and other partners to understand their data needs and requirements, and to ensure that the data infrastructure supports the organization's goals and objectives.
Collaborate with cross-functional teams to understand data requirements and design scalable solutions that meet business needs.
Implement and maintain ETL processes to ensure the accuracy, completeness, and consistency of data.
Design and manage data storage systems, including relational databases, NoSQL databases, and data warehouses.
Knowledgeable about industry trends, best practices, and emerging technologies in data engineering, and incorporating the trends into the organization's data infrastructure.
Provide technical guidance to other staff.
Communicate effectively with partners at all levels of the organization to gather requirements, provide updates, and present findings.
Expertise and/or relevant experience in the following areas are mandatory:     Bachelor's degree in computer science, Information Technology, or a related field.
Minimum 5 years of experience as a Backend Data Engineer or in a similar role and strong understanding of ETL processes and data warehousing concepts.
Proven experience with Python and related data engineering libraries (e.g., pandas, NumPy, Spark) and hands-on experience with Apache Airflow for managing data pipelines and workflows.
Proficiency in programming languages commonly used in data engineering, such as Python, Java, Scala, or SQL. Resource must be able to implement data automations within existing frameworks as opposed to writing one off scripts.
Experience with big data technologies and frameworks like Hadoop, Spark, Kafka, and Flink.
Strong understanding of database systems, including relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
Experience regarding engineering best practices such as source control, automated testing, continuous integration and deployment, and peer review.
Experience with cloud computing platforms.
Familiarity with agile development methodologies, software design patterns, and best practices.
Strong analytical thinking and problem-solving abilities.
Excellent verbal and written communication skills, including the ability to convey technical concepts to non-technical partners effectively.
Flexibility to adapt to evolving project requirements and priorities.
Outstanding interpersonal and teamwork skills; and the ability to develop productive working relationships with colleagues and partners.
Experience working in a virtual environment with remote partners and teams
Proficiency in Microsoft Office.

Our success as a company is built on practicing inclusion and embracing diversity. HTC Global Services is committed to providing a work environment free from discrimination and harassment, where all employees are treated with respect and dignity. Together we work to create and maintain an environment where everyone feels valued, included, and respected. At HTC Global Services, our differences are embraced and celebrated. HTC is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills, and experiences within our workforce. HTC is proud to be recognized as a National Minority Supplier

Role: Data Engineer Location: Baton Rouge Louisiana (Onsite with Hybrid) Duration: 12 Months Contract The scope of the proposed services will include the following: <ul> <li>Create and manage the systems and pipelines that enable efficient and reliable flow of data including ingestion processing and storage.</li> <li>Collect data from various sources transforming and cleaning it to ensure accuracy and consistency. Load data into storage systems or data warehouses.</li> <li>Optimize data pipelines infrastructure and workflows for performance and scalability.</li> <li>Monitor data pipelines and systems for performance issues errors and anomalies and implement solutions to address them.</li> <li>Implement security measures to protect sensitive information.</li> <li>Collaborate with data scientists analysts and other partners to understand their data needs and requirements and to ensure that the data infrastructure supports the organizations goals and objectives.</li> <li>Collaborate with crossfunctional teams to understand data requirements and design scalable solutions that meet business needs.</li> <li>Implement and maintain ETL processes to ensure the accuracy completeness and consistency of data.</li> <li>Design and manage data storage systems including relational databases NoSQL databases and data warehouses.</li> <li>Knowledgeable about industry trends best practices and emerging technologies in data engineering and incorporating the trends into the organizations data infrastructure. </li> <li>Provide technical guidance to other staff.</li> <li>Communicate effectively with partners at all levels of the organization to gather</li> </ul> Expertise and/or relevant experience in the following areas are mandatory: <ul> <li>Bachelors degree in computer science Information Technology or a related field.</li> <li>Minimum 5 years of experience as a Backend Data Engineer or in a similar role and strong understanding of ETL processes and data warehousing concepts.</li> <li>Proven experience with Python and related data engineering libraries (e.g. pandas NumPy Spark) and handson experience with Apache Airflow for managing data pipelines and workflows.</li> <li>Proficiency in programming languages commonly used in data engineering such as Python Java Scala or SQL. Resource must be able to implement data automations within existing frameworks as opposed to writing one off scripts.</li> <li>Experience with big data technologies and frameworks like Hadoop Spark Kafka and Flink.</li> <li>Strong understanding of database systems including relational databases (e.g. MySQL PostgreSQL) and NoSQL databases (e.g. MongoDB Cassandra).</li> <li>Experience regarding engineering best practices such as source control automated testing continuous integration and deployment and peer review.</li> </ul> Expertise and/or relevant experience in the following areas are desirable but not mandatory: <ul> <li>Experience with cloud computing platforms.</li> <li>Familiarity with agile development methodologies software design patterns and best practices.</li> <li>Strong analytical thinking and problemsolving abilities.</li> <li>Excellent verbal and written communication skills including the ability to convey technical concepts to nontechnical partners effectively.</li> <li>Flexibility to adapt to evolving project requirements and priorities.</li> <li>Outstanding interpersonal and teamwork skills; and the ability to develop productive working relationships with colleagues and partners.</li> <li>Experience working in a virtual environment with remote partners and teams.</li> <li>Proficiency in Microsoft Office requirements provide updates and present finding.</li> </ul>

Data Engineer Jobs in Baton Rouge, LA

Data Engineer
December 14, 2024

Jr Data Engineer
December 10, 2024

Senior Data Engineer
December 8, 2024

Jr Data Engineer
December 8, 2024

Senior Data Engineer Remote
December 8, 2024

Data Engineer Product Analytics
December 4, 2024

Data Engineer
December 3, 2024

Data Engineer
November 30, 2024

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Data Engineer Jobs in Baton Rouge, LA

Data EngineerDecember 14, 2024

Jr Data EngineerDecember 10, 2024

Senior Data EngineerDecember 8, 2024

Jr Data EngineerDecember 8, 2024

Senior Data Engineer RemoteDecember 8, 2024

Data Engineer Product AnalyticsDecember 4, 2024

Data EngineerDecember 3, 2024

Data EngineerNovember 30, 2024