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  • The site is refreshed daily to remove out-of-date content.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 Professional Big Data Engineer in Dallas, Texas

Job Description:

JOB TITLE: Professional Big Data Engineer

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

DUTIES: AT&T Services, Inc., is seeking a Professional Big Data Engineer in Dallas, TX [and various work locations throughout the U.S.; may work from home] to 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, and develop the mechanisms to ingest, analyze, validate, normalize and clean data. Implement statistical data quality procedures on new data sources, and by applying rigorous iterative data analytics, supports 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 requires synthesizing or anonymizing data. Develop and maintain data engineering best practices and contribute to insights on data analytics and visualization concepts, methods and techniques. Provide rich insight into business performance, preferences, and experiences to improve the customer experience across a broad range of vertical market. Develop and maintain production range pipelines using best data engineering practices and contribute to data analytics. Use Hadoop, Map Reduce, Sqoop, Hive, Pig, Apache HBase, MongoDB, YARN, MYSQL, Oracle, Apache HBase, Hive, Teradata, Synapse, Windows, Unix, Linux, Java, Python, Shell scripting, PL/SQL Pig scripting, Microsoft Azure, AWS, Cloudera (CDH3, CDH4, and CDH5), Hortonworks, GIT, Docker, Jenkins, Kubernetes, Azure Data Lake Storage Gen2, Power BI, Agile, Kanban, DevOps, Waterfall, Eclipse, JIRA, Jupyter notebook, Ansible, and Kibana to meet business needs.

REQUIREMENTS: Requires a Bachelor’s degree, or foreign equivalent degree, in Computer Science, Computer Engineering, or Information Technology and Five (5) Years of progressive, post-baccalaureate experience in the job offered or Five (5) Years of progressive, post-baccalaureate experience in a related occupation supporting the standardization, customization and ad-hoc data analysis, and developing the mechanisms to ingest, analyze, validate, normalize and clean data; Working with big data policy and security teams and legal to create data policy and develop interfaces and retention models which requires synthesizing or anonymizing data; Developing and maintaining data engineering best practices and contribute to insights on data analytics and visualization concepts, methods and techniques; Using Hadoop, Map Reduce, Sqoop, Hive, Pig, Apache HBase, MongoDB, YARN, MYSQL, Oracle, Apache HBase, Hive, Teradata, Synapse, Windows, Unix, Linux, Java, Python, Shell scripting, PL/SQL Pig scripting, Microsoft Azure, AWS, Cloudera (CDH3, CDH4, and CDH5), Hortonworks, GIT, Docker, Jenkins, Kubernetes, Azure Data Lake Storage Gen2, Power BI, Agile, Kanban, DevOps, Waterfall, Eclipse, JIRA, Jupyter notebook, Ansible, and Kibana to meet business needs.

Our Professional Big Data Engineers earn between $130,270 - $210,100 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

DirectEmployers