Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.

Job Information

AT&T Principal Big Data Engineer in Dallas, Texas

Job Description:

JOB TITLE: Principal-Big Data Engineer

JOB LOCATION: 208 S. Akard Street, Dallas, TX 75202 [and various unanticipated locations throughout the U.S.; may work from home]

DUTIES: Interpret the requirements of various Big Data Analytic Use Cases and Scenarios and drive the design and implementation of specific data models to ultimately help drive better business decisions through insights from a combination of external and AT&Ts data assets. Develop the necessary enablers and data platform in the Big Data Lake Environment and maintain its integrity during the life cycle phases. Define data requirements, gather and mine large scale of structured and unstructured data, and validate data by running various data tools in the Big Data Environment. Support the standardization, customization and ad-hoc data analysis of the Big Data Environment. Develop the mechanisms to ingest, analyze, validate, normalize and clean data. Implement statistical data quality procedures on new data sources, and apply rigorous iterative data analytics. Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value. Work with Big Data Policy and Security teams and Legal to create data policy and develop interfaces and retention models which require synthesizing or anonymizing data. Develop and maintain data engineering best practices and contribute to insights on data analytics and visualization concepts, methods and techniques. Utilize Azure and AWS cloud, and vendor BI/AI/ML tools. Manage and develop BI/AI/ML software and platforms. Perform Agile development, business assessment, software data analysis, Logical Data Modeling, Modeling: Data, Process, Events, Objects, Requirements Analysis, and Statistics and Actuarial Modeling. Utilize the Software Development Life Cycle. Utilize the following technology and software: Application Programming Interface (API), Big Data Software Engineering, Data Movement Tools.

REQUIREMENTS: Requires a Master’s degree, or foreign equivalent degree, in Computer and Information Sciences, Computer Science, Math, or Scientific Computing and two (2) years of experience in the job offered, or two (2) years of experience in a related occupation utilizing Azure and AWS cloud, and vendor BI/AI/ML tools; managing and developing BI/AI/ML software and platforms; performing Agile development, business assessment, software data analysis, Logical Data Modeling, Modeling: Data, Process, Events, Objects, Requirements Analysis, and Statistics and Actuarial Modeling; utilizing the Software Development Life Cycle; and utilizing the following technology and software: Application Programming Interface (API), Big Data Software Engineering, Data Movement Tools.

Our Principal-Big Data Engineers earn between $156,895 - $254,300 yearly. Not to mention all the other amazing rewards that working at AT&T offers.

Joining our team comes with amazing perks and benefits:

  • Medical/Dental/Vision coverage

  • 401(k) plan

  • Tuition reimbursement program

  • Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)

  • Paid Parental Leave

  • Paid Caregiver Leave

  • Additional sick leave beyond what state and local law require may be available but is unprotected

  • Adoption Reimbursement

  • Disability Benefits (short term and long term)

  • Life and Accidental Death Insurance

  • Supplemental benefit programs: critical illness/accident hospital indemnity/group legal

  • Employee Assistance Programs (EAP)

  • Extensive employee wellness programs

Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone

Weekly Hours:

40

Time Type:

Regular

Location:

Dallas, Texas

It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities.

AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, state and local laws

We expect employees to be honest, trustworthy, and operate with integrity. Discrimination and all unlawful harassment (including sexual harassment) in employment is not tolerated. We encourage success based on our individual merits and abilities without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, marital status, citizenship status, military status, protected veteran status or employment status

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