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Software Engineer

Gates,NC

1347 Software Engineer jobs in Gates,NC

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Amazon.com Services LLC - A57 Logo

Amazon.com Services LLC - A57 - Suffolk, VA

Senior Automation Engineer
~ 48 min OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit
iHire
Field Engineer

SunEnergy1

Bethel, NC 27812

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Infrastructure (Inside Plant) Design Engineer

BAE Systems

Chesapeake, VA 23320

~ 57 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

Full-Time Salary Range: $88189 - $149922
Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards.
Other incentives may be available based on position level and/or job specifics.
Health, dental, and vision insurance
Health savings accounts
A 401(k) savings plan
Disability coverage
Life and accident insurance
An employee assistance program
A legal plan
Other perks including discounts on things like home, auto, and pet insurance
Paid time off
Paid holidays
Other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave
Full-Time
High school diploma and at least 8 years of experience developing layout and design for technology systems including voice, data, and structured cabling
Strong knowledge of Structured Cabling Systems from an installation and basic design perspective
Well versed in BICSI rules, regulations, and standards
Knowledge of NEC, IEEE, EIA, TIA, industry standards and other applicable codes related to the design and layout of IT, low voltage and telecommunications systems
Experience with Microsoft Excel and Visio for producing floorplans and cut sheets
Bachelor's degree in related field.
At least 10 years of related experience, including experience with data/voice structured cabling systems, audio/visual and VTC, wireless systems (including Wi-Fi and public safety distribution systems), access control, intrusion detection, and video surveillance systems.
Registered Communications Distribution Designer (RCDD) certification (If certification has not been obtained, a willingness to obtain certification upon starting position.)
Networking fundamentals (e.g. TCP/IP, VLANs, Multicast); exposure to designing and integrating multi-class networks
Proficient in Visio, AUTOCAD, and/or equivalent drawing program.
Knowledge of Building Information Modeling (BIM).
Relevant experience to planning and designing cable infrastructure that support the DoD environment.
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Manufacturing Engineer

AAR

Gates, NC

Onsite

Manufacturing or Mechanical Engineering Degree (BS) from a four-year college or university and a minimum of five years related experience; or equivalent combination of education and experience.
Experience with mechanical systems and lean manufacturing principles.
Familiarity with a diverse range of materials (i.e. aluminum alloys, stainless steel alloys, engineering polymers, composites, etc.).
Must have the ability to read and interpret engineering drawings, specifications and technical data.
Must be capable of applying statistical analysis techniques such as Design of Experiments, Optimization, Process Reliability, Hypothesis Testing and Regression Analysis.
Experience with 3-D Modeling software (Uni-graphics, Solid Works, or Solid Edge) is required.
Read, write, speak and understand the English language.
Experience within commercial aircraft seating (assembly) environment.
Lean implementation with emphasis on standard work & line balancing.
Experience establishing operational objectives and performance metrics.
DMAIC problem solving
While performing the duties of this job, the employee may be regularly required to sit, stand, bend, reach and move about the facility.
Must be able to work effectively at video display terminals for extended periods of time.
Normal or corrected hearing and vision are required.
Duties require typical bending, stooping, reaching, stretching, etc. with lifting typically limited to 10-20 lbs. maximum.
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Reliability Engineer

Antech Systems

Chesapeake, VA 23322

~ 57 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

$80,000 - $95,000
Health, dental, and vision insurance
401(k) retirement plan with company match
Life insurance
Long-term/Short-term disability insurance (LTD/STD)
Employee Stock Ownership Plan (ESOP)
Vacation, Sick and Holiday leave
Parental leave
Education: Bachelor's degree in engineering, engineering technology, or a related technical discipline. Or 10 years of experience working in engineering, engineering technology, or a related technical discipline.
Experience: Three or more years of relevant experience in reliability engineering, maintenance engineering, systems engineering, technical analysis, equipment maintenance, or a closely related field.
Analysis Exposure: Experience participating in reliability, maintenance, failure-mode, systems, or RCM analyses.
Foundational Knowledge: Working knowledge of reliability engineering, maintenance principles, and Classic RCM concepts.
Structural Understanding: Knowledge of the relationships among system functions, functional failures, failure modes, failure effects, failure consequences, and maintenance-task selection.
Technical Reading: Experience reviewing and interpreting technical standards, specifications, drawings, technical manuals, maintenance documentation, and engineering data.
Software Proficiency: Proficiency with Microsoft Word, Excel, PowerPoint, and other standard engineering/documentation tools.
Clearance: Ability to obtain and maintain a U.S. Government security clearance, if required for the assigned program.
Experience facilitating or co-facilitating Classic RCM Workshops.
Experience applying MIL-STD-3034 or another structured RCM methodology.
Experience supporting U.S. Navy, Department of War, or other federal-government programs.
Experience with Navy maintenance programs, shipboard equipment, submarine systems, mechanical systems, electrical systems, electronics, or integrated systems.
Experience developing preventive-maintenance requirements, maintenance procedures, or maintenance-change recommendations.
Experience performing reliability, maintainability, failure, root-cause, or life-cycle-cost analyses.
Experience with condition-based maintenance concepts, reliability-data analysis, or engineering databases.
Experience working directly with government customers and technical stakeholders.
Data Engineer

Family Dollar

Chesapeake, VA 23322

Paid Relocation to Chesapeake, VA

~ 57 min Onsite

Projected Salary Range: $95,000 - $118,500
10% annual bonus opportunity
We handle relocation for anyone interested outside of the Hampton Roads, VA area
Full-time
Full time
Candidates must be authorized to work in the United States without the need for current or future visa sponsorship.
Bachelor's degree or higher in Computer Science, Engineering, or a related field.
3+ years of experience in data engineering or data analytics.
Strong understanding of RDBMS concepts with 3+ years of advanced SQL and data analysis experience.
2+ years of experience with Linux command‑line tools and scripting.
3+ years of Python development experience with expert‑level proficiency.
1+ year working with Big Data processing frameworks and tools.
Hands‑on experience with GCP services such as Cloud Storage, Dataflow, Pub/Sub, and BigQuery.
Strong proficiency in SQL, Python, Linux shell scripting, and data modeling.
Solid knowledge of data modeling techniques
Ability to analyze source systems and transform data to meet target data model requirements.
Experience working with large‑scale data warehouses (10+ TB) and high‑volume ETL/ELT workloads (50M+ records/day).
Demonstrated experience delivering end‑to‑end technical solutions within enterprise BI/Data Warehousing environments.
Experience with performance tuning and optimization across the data delivery pipeline—from ingestion through analytics.
Experience working in a Scrum/Agile environment and tools such as Jira.
Experience migrating data of various formats (JSON, delimited files, APIs, real‑time feeds) into Google BigQuery is strongly preferred.
Experience working with a data science workbench or ML development environment.
Familiarity with data engineering aspects of machine learning pipelines (e.g., data prep, splitting, feature engineering, scoring)
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